id large_stringlengths 21 21 | domain large_stringclasses 7
values | instruction large_stringclasses 115
values | reasoning large_stringlengths 1.07k 5.05k | response large_stringlengths 677 1.11k | text large_stringlengths 2.31k 6.39k | target_board_id large_stringclasses 863
values | mcu large_stringclasses 201
values | vendor large_stringclasses 231
values | ram_bytes int64 2.05k 8.59B | rom_bytes int64 0 1.07B |
|---|---|---|---|---|---|---|---|---|---|---|
pyintel_hw_cot_007800 | multi_bus_sensor_fusion | I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitting NMEA strings at 1... | 1. **Bus Contention & Channel Breakdown**:
- **SPI Channel 0**: Dedicated exclusively to high-rate IMU polling (1 kHz loop, 10 MHz SPI clock).
- **SPI Channel 1**: Dedicated to MicroSD / Flash logging (large blocking write blocks must NOT hold up the IMU bus).
- **I2C Channel**: Dedicated 400 kHz Fast-Mode for... | ### Recommended Board: **WR2L Wi-Fi Module**
| Bus Interface | Peripheral Channel | Assigned Sensor |
| :--- | :--- | :--- |
| **SPI Controller 0** | Dedicated Hardware SPI0 | High-Rate 6-Axis IMU (1 kHz sampling) |
| **SPI Controller 1** | Dedicated Hardware SPI1 | MicroSD Blackbox Logging (Isolated) |
| **I2C Contro... | <start_of_turn>user
I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitti... | wr2l | RTL8710BX | Tuya Inc. | 262,144 | 806,912 |
pyintel_hw_cot_007801 | robotics_foc_motion | I am building a precision robotic joint controller executing Field Oriented Control (FOC) for a brushless DC (BLDC) motor. The control loop operates at 20 kHz PWM frequency with 3-phase complementary outputs and dead-time insertion. I require fast dual/triple ADC sampling synchronized with PWM center-alignment to read ... | 1. **Timing & Math Budget**:
- **Loop Period**: At 20 kHz PWM, each control cycle is $T = 1 / 20\text{ kHz} = 50.0\,\mu\text{s}$.
- **Calculations per Cycle**: Clarke and Park transformations, PI current controllers, and Space Vector Modulation (SVM) require $\approx 800\text{--}1,500$ CPU cycles.
- **Clock Re... | ### Recommended Board: **Mbed Connect Cloud**
| Architectural Feature | Specification | Role in FOC Algorithm |
| :--- | :--- | :--- |
| **Board ID** | `mbed_connect_odin` | Verified Open Board Registry entry |
| **MCU Core** | `STM32F439ZIY6` | High-speed real-time core with hardware math |
| **Core Clock** | 168 MHz... | <start_of_turn>user
I am building a precision robotic joint controller executing Field Oriented Control (FOC) for a brushless DC (BLDC) motor. The control loop operates at 20 kHz PWM frequency with 3-phase complementary outputs and dead-time insertion. I require fast dual/triple ADC sampling synchronized with PWM cente... | mbed_connect_odin | STM32F439ZIY6 | u-blox | 262,144 | 2,097,152 |
pyintel_hw_cot_007802 | display_framebuffer_gui | I am building a handheld medical diagnostic device requiring a 240x240 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 240 KB of contiguous RAM without ca... | 1. **Mathematical Memory Budget Calculation**:
- **Display Dimensions**: 240 pixels width $\times$ 240 pixels height = 57,600 pixels.
- **Color Depth**: RGB565 = 16 bits = 2 bytes per pixel.
- **Single Framebuffer Size**: $240 \times 240 \times 2 = 115,200 \text{ bytes} = 112 \text{ KB}$.
- **LVGL UI Heap &... | ### Recommended Board: **Valetron Systems VALTRACK-V4MVF**
| Constraint Parameter | Required Budget | Board Capability (`valtrack_v4_mfw_esp32_c3`) |
| :--- | :--- | :--- |
| **Framebuffer Allocation** | 112 KB (240x240 @ 16-bpp RGB565) | Easily allocated in internal SRAM |
| **LVGL GUI Heap** | 96 KB | Supported with... | <start_of_turn>user
I am building a handheld medical diagnostic device requiring a 240x240 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 240 KB of conti... | valtrack_v4_mfw_esp32_c3 | ESP32C3 | Valetron Systems | 327,680 | 4,194,304 |
pyintel_hw_cot_007803 | battery_iot | I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 132 KB of unfragmented dynamic heap (accounting for RTOS kernel ~24 K... | 1. **Constraint Decomposition & Mathematical Budgets**:
- **Power Rail & Voltage**: 3.7V LiPo battery cell requires onboard 3.3V LDO regulator with low quiescent current. Logic level must be strictly 3.3V.
- **Network Stack**: Onboard 2.4 GHz WiFi or BLE transceiver is mandatory.
- **SRAM Sizing Formula**: Req... | ### Recommended Board: **INEX OpenKB**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `inex_openkb` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `ESP32` | Native dual-core/accelerated processing |
| **Operating Frequency** | 240 MHz | Sufficient throughput ... | <start_of_turn>user
I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 132 KB of unfragmented dynamic heap (accounting f... | inex_openkb | ESP32 | INEX | 327,680 | 4,194,304 |
pyintel_hw_cot_007804 | battery_iot | I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 108 KB of unfragmented dynamic heap (accounting for RTOS kernel ~16 K... | 1. **Constraint Decomposition & Mathematical Budgets**:
- **Power Rail & Voltage**: 3.7V LiPo battery cell requires onboard 3.3V LDO regulator with low quiescent current. Logic level must be strictly 3.3V.
- **Network Stack**: Onboard 2.4 GHz WiFi or BLE transceiver is mandatory.
- **SRAM Sizing Formula**: Req... | ### Recommended Board: **Espressif ESP32-S3-DevKitC-1-N8 (8 MB QD, No PSRAM)**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `esp32-s3-devkitc-1` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `ESP32S3` | Native dual-core/accelerated processing |
| **Operati... | <start_of_turn>user
I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 108 KB of unfragmented dynamic heap (accounting f... | esp32-s3-devkitc-1 | ESP32S3 | Espressif | 327,680 | 8,388,608 |
pyintel_hw_cot_007805 | native_usb_emulation | I am designing a hardware Custom USB CDC ACM + WebUSB instrument interface. The device must plug directly into a host PC and enumerate natively without requiring an external USB-to-UART bridge IC (such as CH340 or CP2102). The microcontroller must have an integrated USB 2.0 Full-Speed PHY supporting programmable endpoi... | 1. **Constraint Breakdown**:
- **USB Silicon Architecture**: Must feature on-chip native USB 2.0 PHY with programmable DP/DM lines.
- **Driver Stack**: Must support raw USB endpoint configuration (TinyUSB or native USB device peripheral) for custom descriptor enumeration.
- **Protocol Rejection**: USB-UART bri... | ### Recommended Board: **Deneyap Mini**
| Requirement | Specification | Verification |
| :--- | :--- | :--- |
| **Board ID** | `deneyapmini` | Registered entry in Open Board Registry |
| **Microcontroller** | `ESP32S2` | Direct native USB 2.0 FS silicon |
| **USB Stack** | TinyUSB / Native Driver | Custom HID/MIDI/CDC... | <start_of_turn>user
I am designing a hardware Custom USB CDC ACM + WebUSB instrument interface. The device must plug directly into a host PC and enumerate natively without requiring an external USB-to-UART bridge IC (such as CH340 or CP2102). The microcontroller must have an integrated USB 2.0 Full-Speed PHY supporting... | deneyapmini | ESP32S2 | T3 Foundation | 327,680 | 4,194,304 |
pyintel_hw_cot_007806 | edge_audio_dsp | I am building an embedded real-time audio analysis module capturing acoustic emissions via an I2S MEMS microphone. The firmware must compute continuous 2048-point complex Fast Fourier Transforms (FFT) at 44.1 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support circular DMA I2S dou... | 1. **Mathematical DSP & Throughput Budget**:
- **Audio Throughput**: Sampling at 44.1 kHz 16-bit mono produces $44.1 \times 10^3 \times 2 \approx 88,200 \text{ bytes/sec}$.
- **FFT Window Duration**: A 2048-point buffer represents $T_{window} = 2048 / (44.1 \times 10^3) \approx 46.44 \text{ ms}$.
- **Processin... | ### Recommended Board: **AirM2M CORE ESP32C3**
| DSP Parameter | Value | Advantage |
| :--- | :--- | :--- |
| **Board ID** | `airm2m_core_esp32c3` | Verified Open Board Registry entry |
| **Processor Core** | `ESP32C3` | Hardware FPU & DSP SIMD extensions |
| **Clock Speed** | 160 MHz | FFT computes in $< 2 \text{ ms}... | <start_of_turn>user
I am building an embedded real-time audio analysis module capturing acoustic emissions via an I2S MEMS microphone. The firmware must compute continuous 2048-point complex Fast Fourier Transforms (FFT) at 44.1 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support ... | airm2m_core_esp32c3 | ESP32C3 | AirM2M | 327,680 | 4,194,304 |
pyintel_hw_cot_007807 | automotive_industrial_can | We are engineering a sub-assembly node for an automotive chassis telemetry bus operating on a 24V rail. The module must communicate with the vehicle engine management system over CAN 2.0B / CAN-FD at 500 kbps. We require a board with hardware CAN controller support, sufficient interrupt handling capability for 1,000 fr... | 1. **Constraint Analysis**:
- **Bus Protocol**: Hardware CAN / CAN-FD peripheral is required. Bitrate target is 500 kbps with deterministic acceptance filtering.
- **Power Rail**: Automotive power bus exhibits high ripple and load-dump voltage transients (24V). Requires wide DC input step-down regulator or automo... | ### Recommended Board: **Hornbill ESP32 Dev**
| Parameter | Specification | Functional Advantage |
| :--- | :--- | :--- |
| **Registry ID** | `hornbill32dev` | Registered open-hardware entry |
| **MCU Architecture** | `ESP32` | High-speed real-time core |
| **CAN Bus Interface** | wifi, bluetooth, ethernet, can | Hard... | <start_of_turn>user
We are engineering a sub-assembly node for an automotive chassis telemetry bus operating on a 24V rail. The module must communicate with the vehicle engine management system over CAN 2.0B / CAN-FD at 500 kbps. We require a board with hardware CAN controller support, sufficient interrupt handling cap... | hornbill32dev | ESP32 | Hornbill | 327,680 | 4,194,304 |
pyintel_hw_cot_007808 | robotics_foc_motion | I am building a precision robotic joint controller executing Field Oriented Control (FOC) for a brushless DC (BLDC) motor. The control loop operates at 25 kHz PWM frequency with 3-phase complementary outputs and dead-time insertion. I require fast dual/triple ADC sampling synchronized with PWM center-alignment to read ... | 1. **Timing & Math Budget**:
- **Loop Period**: At 25 kHz PWM, each control cycle is $T = 1 / 25\text{ kHz} = 40.0\,\mu\text{s}$.
- **Calculations per Cycle**: Clarke and Park transformations, PI current controllers, and Space Vector Modulation (SVM) require $\approx 800\text{--}1,500$ CPU cycles.
- **Clock Re... | ### Recommended Board: **STM32F4Stamp F405**
| Architectural Feature | Specification | Role in FOC Algorithm |
| :--- | :--- | :--- |
| **Board ID** | `stm32f4stamp` | Verified Open Board Registry entry |
| **MCU Core** | `STM32F405RGT6` | High-speed real-time core with hardware math |
| **Core Clock** | 168 MHz | Com... | <start_of_turn>user
I am building a precision robotic joint controller executing Field Oriented Control (FOC) for a brushless DC (BLDC) motor. The control loop operates at 25 kHz PWM frequency with 3-phase complementary outputs and dead-time insertion. I require fast dual/triple ADC sampling synchronized with PWM cente... | stm32f4stamp | STM32F405RGT6 | Generic | 131,072 | 1,048,576 |
pyintel_hw_cot_007809 | multi_bus_sensor_fusion | I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitting NMEA strings at 1... | 1. **Bus Contention & Channel Breakdown**:
- **SPI Channel 0**: Dedicated exclusively to high-rate IMU polling (1 kHz loop, 10 MHz SPI clock).
- **SPI Channel 1**: Dedicated to MicroSD / Flash logging (large blocking write blocks must NOT hold up the IMU bus).
- **I2C Channel**: Dedicated 400 kHz Fast-Mode for... | ### Recommended Board: **Arduino Nano 33 BLE**
| Bus Interface | Peripheral Channel | Assigned Sensor |
| :--- | :--- | :--- |
| **SPI Controller 0** | Dedicated Hardware SPI0 | High-Rate 6-Axis IMU (1 kHz sampling) |
| **SPI Controller 1** | Dedicated Hardware SPI1 | MicroSD Blackbox Logging (Isolated) |
| **I2C Cont... | <start_of_turn>user
I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitti... | nano33ble | NRF52840 | Arduino | 262,144 | 983,040 |
pyintel_hw_cot_007810 | multi_bus_sensor_fusion | I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitting NMEA strings at 1... | 1. **Bus Contention & Channel Breakdown**:
- **SPI Channel 0**: Dedicated exclusively to high-rate IMU polling (1 kHz loop, 10 MHz SPI clock).
- **SPI Channel 1**: Dedicated to MicroSD / Flash logging (large blocking write blocks must NOT hold up the IMU bus).
- **I2C Channel**: Dedicated 400 kHz Fast-Mode for... | ### Recommended Board: **Olimex STM32-P405**
| Bus Interface | Peripheral Channel | Assigned Sensor |
| :--- | :--- | :--- |
| **SPI Controller 0** | Dedicated Hardware SPI0 | High-Rate 6-Axis IMU (1 kHz sampling) |
| **SPI Controller 1** | Dedicated Hardware SPI1 | MicroSD Blackbox Logging (Isolated) |
| **I2C Contro... | <start_of_turn>user
I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitti... | olimex_p405 | STM32F405RGT6 | Olimex | 131,072 | 1,048,576 |
pyintel_hw_cot_007811 | robotics_foc_motion | I am building a precision robotic joint controller executing Field Oriented Control (FOC) for a brushless DC (BLDC) motor. The control loop operates at 20 kHz PWM frequency with 3-phase complementary outputs and dead-time insertion. I require fast dual/triple ADC sampling synchronized with PWM center-alignment to read ... | 1. **Timing & Math Budget**:
- **Loop Period**: At 20 kHz PWM, each control cycle is $T = 1 / 20\text{ kHz} = 50.0\,\mu\text{s}$.
- **Calculations per Cycle**: Clarke and Park transformations, PI current controllers, and Space Vector Modulation (SVM) require $\approx 800\text{--}1,500$ CPU cycles.
- **Clock Re... | ### Recommended Board: **Seeed Wio 3G**
| Architectural Feature | Specification | Role in FOC Algorithm |
| :--- | :--- | :--- |
| **Board ID** | `wio_3g` | Verified Open Board Registry entry |
| **MCU Core** | `STM32F439VI` | High-speed real-time core with hardware math |
| **Core Clock** | 180 MHz | Completes FOC lo... | <start_of_turn>user
I am building a precision robotic joint controller executing Field Oriented Control (FOC) for a brushless DC (BLDC) motor. The control loop operates at 20 kHz PWM frequency with 3-phase complementary outputs and dead-time insertion. I require fast dual/triple ADC sampling synchronized with PWM cente... | wio_3g | STM32F439VI | SeeedStudio | 262,144 | 2,097,152 |
pyintel_hw_cot_007812 | robotics_foc_motion | I am building a precision robotic joint controller executing Field Oriented Control (FOC) for a brushless DC (BLDC) motor. The control loop operates at 20 kHz PWM frequency with 3-phase complementary outputs and dead-time insertion. I require fast dual/triple ADC sampling synchronized with PWM center-alignment to read ... | 1. **Timing & Math Budget**:
- **Loop Period**: At 20 kHz PWM, each control cycle is $T = 1 / 20\text{ kHz} = 50.0\,\mu\text{s}$.
- **Calculations per Cycle**: Clarke and Park transformations, PI current controllers, and Space Vector Modulation (SVM) require $\approx 800\text{--}1,500$ CPU cycles.
- **Clock Re... | ### Recommended Board: **Akana R1**
| Architectural Feature | Specification | Role in FOC Algorithm |
| :--- | :--- | :--- |
| **Board ID** | `akana_r1` | Verified Open Board Registry entry |
| **MCU Core** | `RP2040` | High-speed real-time core with hardware math |
| **Core Clock** | 133 MHz | Completes FOC loop in $... | <start_of_turn>user
I am building a precision robotic joint controller executing Field Oriented Control (FOC) for a brushless DC (BLDC) motor. The control loop operates at 20 kHz PWM frequency with 3-phase complementary outputs and dead-time insertion. I require fast dual/triple ADC sampling synchronized with PWM cente... | akana_r1 | RP2040 | METE HOCA | 262,144 | 16,777,216 |
pyintel_hw_cot_007813 | battery_iot | I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 140 KB of unfragmented dynamic heap (accounting for RTOS kernel ~24 K... | 1. **Constraint Decomposition & Mathematical Budgets**:
- **Power Rail & Voltage**: 3.7V LiPo battery cell requires onboard 3.3V LDO regulator with low quiescent current. Logic level must be strictly 3.3V.
- **Network Stack**: Onboard 2.4 GHz WiFi or BLE transceiver is mandatory.
- **SRAM Sizing Formula**: Req... | ### Recommended Board: **Arduino Nicla Vision (M4 core)**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `nicla_vision_m4` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `STM32H747XIH6` | Native dual-core/accelerated processing |
| **Operating Frequency** | 4... | <start_of_turn>user
I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 140 KB of unfragmented dynamic heap (accounting f... | nicla_vision_m4 | STM32H747XIH6 | Arduino | 294,248 | 1,048,576 |
pyintel_hw_cot_007814 | battery_iot | I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 164 KB of unfragmented dynamic heap (accounting for RTOS kernel ~32 K... | 1. **Constraint Decomposition & Mathematical Budgets**:
- **Power Rail & Voltage**: 3.7V LiPo battery cell requires onboard 3.3V LDO regulator with low quiescent current. Logic level must be strictly 3.3V.
- **Network Stack**: Onboard 2.4 GHz WiFi or BLE transceiver is mandatory.
- **SRAM Sizing Formula**: Req... | ### Recommended Board: **4D Systems GEN4-ESP32 16MB (ESP32S3-R8N16)**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `4d_systems_esp32s3_gen4_r8n16` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `ESP32S3` | Native dual-core/accelerated processing |
| **Opera... | <start_of_turn>user
I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 164 KB of unfragmented dynamic heap (accounting f... | 4d_systems_esp32s3_gen4_r8n16 | ESP32S3 | 4D Systems | 327,680 | 16,777,216 |
pyintel_hw_cot_007815 | display_framebuffer_gui | I am building a handheld medical diagnostic device requiring a 480x320 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 364 KB of contiguous RAM without ca... | 1. **Mathematical Memory Budget Calculation**:
- **Display Dimensions**: 480 pixels width $\times$ 320 pixels height = 153,600 pixels.
- **Color Depth**: RGB565 = 16 bits = 2 bytes per pixel.
- **Single Framebuffer Size**: $480 \times 320 \times 2 = 307,200 \text{ bytes} = 300 \text{ KB}$.
- **LVGL UI Heap ... | ### Recommended Board: **Franzininho WiFi Board**
| Constraint Parameter | Required Budget | Board Capability (`esp32-s2-franzininho`) |
| :--- | :--- | :--- |
| **Framebuffer Allocation** | 300 KB (480x320 @ 16-bpp RGB565) | Easily allocated in internal SRAM |
| **LVGL GUI Heap** | 32 KB | Supported with substantial ... | <start_of_turn>user
I am building a handheld medical diagnostic device requiring a 480x320 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 364 KB of conti... | esp32-s2-franzininho | ESP32S2 | Franzininho | 327,680 | 4,194,304 |
pyintel_hw_cot_007816 | robotics_foc_motion | I am building a precision robotic joint controller executing Field Oriented Control (FOC) for a brushless DC (BLDC) motor. The control loop operates at 40 kHz PWM frequency with 3-phase complementary outputs and dead-time insertion. I require fast dual/triple ADC sampling synchronized with PWM center-alignment to read ... | 1. **Timing & Math Budget**:
- **Loop Period**: At 40 kHz PWM, each control cycle is $T = 1 / 40\text{ kHz} = 25.0\,\mu\text{s}$.
- **Calculations per Cycle**: Clarke and Park transformations, PI current controllers, and Space Vector Modulation (SVM) require $\approx 800\text{--}1,500$ CPU cycles.
- **Clock Re... | ### Recommended Board: **STM32F103RE (64k RAM. 512k Flash)**
| Architectural Feature | Specification | Role in FOC Algorithm |
| :--- | :--- | :--- |
| **Board ID** | `genericSTM32F103RE` | Verified Open Board Registry entry |
| **MCU Core** | `STM32F103RET6` | High-speed real-time core with hardware math |
| **Core C... | <start_of_turn>user
I am building a precision robotic joint controller executing Field Oriented Control (FOC) for a brushless DC (BLDC) motor. The control loop operates at 40 kHz PWM frequency with 3-phase complementary outputs and dead-time insertion. I require fast dual/triple ADC sampling synchronized with PWM cente... | genericSTM32F103RE | STM32F103RET6 | Generic | 65,536 | 524,288 |
pyintel_hw_cot_007817 | edge_audio_dsp | I am building an embedded real-time audio analysis module capturing acoustic emissions via an I2S MEMS microphone. The firmware must compute continuous 1024-point complex Fast Fourier Transforms (FFT) at 48.0 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support circular DMA I2S dou... | 1. **Mathematical DSP & Throughput Budget**:
- **Audio Throughput**: Sampling at 48.0 kHz 16-bit mono produces $48.0 \times 10^3 \times 2 \approx 96,000 \text{ bytes/sec}$.
- **FFT Window Duration**: A 1024-point buffer represents $T_{window} = 1024 / (48.0 \times 10^3) \approx 21.33 \text{ ms}$.
- **Processin... | ### Recommended Board: **Maker Uno RP2040**
| DSP Parameter | Value | Advantage |
| :--- | :--- | :--- |
| **Board ID** | `cytron_maker_uno_rp2040` | Verified Open Board Registry entry |
| **Processor Core** | `RP2040` | Hardware FPU & DSP SIMD extensions |
| **Clock Speed** | 133 MHz | FFT computes in $< 2 \text{ ms}... | <start_of_turn>user
I am building an embedded real-time audio analysis module capturing acoustic emissions via an I2S MEMS microphone. The firmware must compute continuous 1024-point complex Fast Fourier Transforms (FFT) at 48.0 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support ... | cytron_maker_uno_rp2040 | RP2040 | Cytron | 262,144 | 2,097,152 |
pyintel_hw_cot_007818 | battery_iot | I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 128 KB of unfragmented dynamic heap (accounting for RTOS kernel ~32 K... | 1. **Constraint Decomposition & Mathematical Budgets**:
- **Power Rail & Voltage**: 3.7V LiPo battery cell requires onboard 3.3V LDO regulator with low quiescent current. Logic level must be strictly 3.3V.
- **Network Stack**: Onboard 2.4 GHz WiFi or BLE transceiver is mandatory.
- **SRAM Sizing Formula**: Req... | ### Recommended Board: **Blinker WiFiduinoV2 (ESP32-C3)**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `wifiduino32c3` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `ESP32C3` | Native dual-core/accelerated processing |
| **Operating Frequency** | 160 MHz |... | <start_of_turn>user
I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 128 KB of unfragmented dynamic heap (accounting f... | wifiduino32c3 | ESP32C3 | Blinker | 327,680 | 4,194,304 |
pyintel_hw_cot_007819 | edge_audio_dsp | I am building an embedded real-time audio analysis module capturing acoustic emissions via an I2S MEMS microphone. The firmware must compute continuous 512-point complex Fast Fourier Transforms (FFT) at 48.0 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support circular DMA I2S doub... | 1. **Mathematical DSP & Throughput Budget**:
- **Audio Throughput**: Sampling at 48.0 kHz 16-bit mono produces $48.0 \times 10^3 \times 2 \approx 96,000 \text{ bytes/sec}$.
- **FFT Window Duration**: A 512-point buffer represents $T_{window} = 512 / (48.0 \times 10^3) \approx 10.67 \text{ ms}$.
- **Processing ... | ### Recommended Board: **unPhone 7**
| DSP Parameter | Value | Advantage |
| :--- | :--- | :--- |
| **Board ID** | `unphone7` | Verified Open Board Registry entry |
| **Processor Core** | `ESP32` | Hardware FPU & DSP SIMD extensions |
| **Clock Speed** | 240 MHz | FFT computes in $< 2 \text{ ms}$ (well below 10.7 ms f... | <start_of_turn>user
I am building an embedded real-time audio analysis module capturing acoustic emissions via an I2S MEMS microphone. The firmware must compute continuous 512-point complex Fast Fourier Transforms (FFT) at 48.0 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support c... | unphone7 | ESP32 | University of Sheffield | 327,680 | 4,194,304 |
pyintel_hw_cot_007820 | automotive_industrial_can | We are engineering a sub-assembly node for an automotive chassis telemetry bus operating on a 12V rail. The module must communicate with the vehicle engine management system over CAN 2.0B / CAN-FD at 500 kbps. We require a board with hardware CAN controller support, sufficient interrupt handling capability for 1,000 fr... | 1. **Constraint Analysis**:
- **Bus Protocol**: Hardware CAN / CAN-FD peripheral is required. Bitrate target is 500 kbps with deterministic acceptance filtering.
- **Power Rail**: Automotive power bus exhibits high ripple and load-dump voltage transients (12V). Requires wide DC input step-down regulator or automo... | ### Recommended Board: **uPesy ESP32 Wroom DevKit**
| Parameter | Specification | Functional Advantage |
| :--- | :--- | :--- |
| **Registry ID** | `upesy_wroom` | Registered open-hardware entry |
| **MCU Architecture** | `ESP32` | High-speed real-time core |
| **CAN Bus Interface** | wifi, bluetooth, ethernet, can | ... | <start_of_turn>user
We are engineering a sub-assembly node for an automotive chassis telemetry bus operating on a 12V rail. The module must communicate with the vehicle engine management system over CAN 2.0B / CAN-FD at 500 kbps. We require a board with hardware CAN controller support, sufficient interrupt handling cap... | upesy_wroom | ESP32 | uPesy | 327,680 | 4,194,304 |
pyintel_hw_cot_007821 | automotive_industrial_can | We are engineering a sub-assembly node for an automotive chassis telemetry bus operating on a 7V–28V DC wide input rail. The module must communicate with the vehicle engine management system over CAN 2.0B / CAN-FD at 500 kbps. We require a board with hardware CAN controller support, sufficient interrupt handling capabi... | 1. **Constraint Analysis**:
- **Bus Protocol**: Hardware CAN / CAN-FD peripheral is required. Bitrate target is 500 kbps with deterministic acceptance filtering.
- **Power Rail**: Automotive power bus exhibits high ripple and load-dump voltage transients (7V–28V DC wide input). Requires wide DC input step-down re... | ### Recommended Board: **TTGO T1**
| Parameter | Specification | Functional Advantage |
| :--- | :--- | :--- |
| **Registry ID** | `ttgo-t1` | Registered open-hardware entry |
| **MCU Architecture** | `ESP32` | High-speed real-time core |
| **CAN Bus Interface** | wifi, bluetooth, ethernet, can | Hardware frame filtra... | <start_of_turn>user
We are engineering a sub-assembly node for an automotive chassis telemetry bus operating on a 7V–28V DC wide input rail. The module must communicate with the vehicle engine management system over CAN 2.0B / CAN-FD at 500 kbps. We require a board with hardware CAN controller support, sufficient inter... | ttgo-t1 | ESP32 | TTGO | 327,680 | 4,194,304 |
pyintel_hw_cot_007822 | native_usb_emulation | I am designing a hardware Custom USB CDC ACM + WebUSB instrument interface. The device must plug directly into a host PC and enumerate natively without requiring an external USB-to-UART bridge IC (such as CH340 or CP2102). The microcontroller must have an integrated USB 2.0 Full-Speed PHY supporting programmable endpoi... | 1. **Constraint Breakdown**:
- **USB Silicon Architecture**: Must feature on-chip native USB 2.0 PHY with programmable DP/DM lines.
- **Driver Stack**: Must support raw USB endpoint configuration (TinyUSB or native USB device peripheral) for custom descriptor enumeration.
- **Protocol Rejection**: USB-UART bri... | ### Recommended Board: **Mizu RP2040**
| Requirement | Specification | Verification |
| :--- | :--- | :--- |
| **Board ID** | `viyalab_mizu` | Registered entry in Open Board Registry |
| **Microcontroller** | `RP2040` | Direct native USB 2.0 FS silicon |
| **USB Stack** | TinyUSB / Native Driver | Custom HID/MIDI/CDC ... | <start_of_turn>user
I am designing a hardware Custom USB CDC ACM + WebUSB instrument interface. The device must plug directly into a host PC and enumerate natively without requiring an external USB-to-UART bridge IC (such as CH340 or CP2102). The microcontroller must have an integrated USB 2.0 Full-Speed PHY supporting... | viyalab_mizu | RP2040 | Viyalab | 262,144 | 8,388,608 |
pyintel_hw_cot_007823 | display_framebuffer_gui | I am building a handheld medical diagnostic device requiring a 240x240 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 208 KB of contiguous RAM without ca... | 1. **Mathematical Memory Budget Calculation**:
- **Display Dimensions**: 240 pixels width $\times$ 240 pixels height = 57,600 pixels.
- **Color Depth**: RGB565 = 16 bits = 2 bytes per pixel.
- **Single Framebuffer Size**: $240 \times 240 \times 2 = 115,200 \text{ bytes} = 112 \text{ KB}$.
- **LVGL UI Heap &... | ### Recommended Board: **TTGO LoRa32-OLED V1**
| Constraint Parameter | Required Budget | Board Capability (`ttgo-lora32-v1`) |
| :--- | :--- | :--- |
| **Framebuffer Allocation** | 112 KB (240x240 @ 16-bpp RGB565) | Easily allocated in internal SRAM |
| **LVGL GUI Heap** | 64 KB | Supported with substantial overhead ... | <start_of_turn>user
I am building a handheld medical diagnostic device requiring a 240x240 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 208 KB of conti... | ttgo-lora32-v1 | ESP32 | TTGO | 327,680 | 4,194,304 |
pyintel_hw_cot_007824 | battery_iot | I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 128 KB of unfragmented dynamic heap (accounting for RTOS kernel ~24 K... | 1. **Constraint Decomposition & Mathematical Budgets**:
- **Power Rail & Voltage**: 3.7V LiPo battery cell requires onboard 3.3V LDO regulator with low quiescent current. Logic level must be strictly 3.3V.
- **Network Stack**: Onboard 2.4 GHz WiFi or BLE transceiver is mandatory.
- **SRAM Sizing Formula**: Req... | ### Recommended Board: **Adafruit Feather ESP32-S3 No PSRAM**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `adafruit_feather_esp32s3_nopsram` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `ESP32S3` | Native dual-core/accelerated processing |
| **Operating ... | <start_of_turn>user
I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 128 KB of unfragmented dynamic heap (accounting f... | adafruit_feather_esp32s3_nopsram | ESP32S3 | Adafruit | 327,680 | 8,388,608 |
pyintel_hw_cot_007825 | multi_bus_sensor_fusion | I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitting NMEA strings at 1... | 1. **Bus Contention & Channel Breakdown**:
- **SPI Channel 0**: Dedicated exclusively to high-rate IMU polling (1 kHz loop, 10 MHz SPI clock).
- **SPI Channel 1**: Dedicated to MicroSD / Flash logging (large blocking write blocks must NOT hold up the IMU bus).
- **I2C Channel**: Dedicated 400 kHz Fast-Mode for... | ### Recommended Board: **ArtronShop IOXESP32**
| Bus Interface | Peripheral Channel | Assigned Sensor |
| :--- | :--- | :--- |
| **SPI Controller 0** | Dedicated Hardware SPI0 | High-Rate 6-Axis IMU (1 kHz sampling) |
| **SPI Controller 1** | Dedicated Hardware SPI1 | MicroSD Blackbox Logging (Isolated) |
| **I2C Cont... | <start_of_turn>user
I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitti... | ioxesp32 | ESP32 | ArtronShop | 327,680 | 4,194,304 |
pyintel_hw_cot_007826 | edge_audio_dsp | I am building an embedded real-time audio analysis module capturing acoustic emissions via an I2S MEMS microphone. The firmware must compute continuous 512-point complex Fast Fourier Transforms (FFT) at 44.1 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support circular DMA I2S doub... | 1. **Mathematical DSP & Throughput Budget**:
- **Audio Throughput**: Sampling at 44.1 kHz 16-bit mono produces $44.1 \times 10^3 \times 2 \approx 88,200 \text{ bytes/sec}$.
- **FFT Window Duration**: A 512-point buffer represents $T_{window} = 512 / (44.1 \times 10^3) \approx 11.61 \text{ ms}$.
- **Processing ... | ### Recommended Board: **Adafruit Feather ESP32-S3 2MB PSRAM**
| DSP Parameter | Value | Advantage |
| :--- | :--- | :--- |
| **Board ID** | `adafruit_feather_esp32s3` | Verified Open Board Registry entry |
| **Processor Core** | `ESP32S3` | Hardware FPU & DSP SIMD extensions |
| **Clock Speed** | 240 MHz | FFT comput... | <start_of_turn>user
I am building an embedded real-time audio analysis module capturing acoustic emissions via an I2S MEMS microphone. The firmware must compute continuous 512-point complex Fast Fourier Transforms (FFT) at 44.1 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support c... | adafruit_feather_esp32s3 | ESP32S3 | Adafruit | 327,680 | 4,194,304 |
pyintel_hw_cot_007827 | robotics_foc_motion | I am building a precision robotic joint controller executing Field Oriented Control (FOC) for a brushless DC (BLDC) motor. The control loop operates at 40 kHz PWM frequency with 3-phase complementary outputs and dead-time insertion. I require fast dual/triple ADC sampling synchronized with PWM center-alignment to read ... | 1. **Timing & Math Budget**:
- **Loop Period**: At 40 kHz PWM, each control cycle is $T = 1 / 40\text{ kHz} = 25.0\,\mu\text{s}$.
- **Calculations per Cycle**: Clarke and Park transformations, PI current controllers, and Space Vector Modulation (SVM) require $\approx 800\text{--}1,500$ CPU cycles.
- **Clock Re... | ### Recommended Board: **WeAct Studio BlackPill V2.0 (STM32F411CE)**
| Architectural Feature | Specification | Role in FOC Algorithm |
| :--- | :--- | :--- |
| **Board ID** | `blackpill_f411ce` | Verified Open Board Registry entry |
| **MCU Core** | `STM32F411CEU6` | High-speed real-time core with hardware math |
| **... | <start_of_turn>user
I am building a precision robotic joint controller executing Field Oriented Control (FOC) for a brushless DC (BLDC) motor. The control loop operates at 40 kHz PWM frequency with 3-phase complementary outputs and dead-time insertion. I require fast dual/triple ADC sampling synchronized with PWM cente... | blackpill_f411ce | STM32F411CEU6 | WeAct Studio | 131,072 | 524,288 |
pyintel_hw_cot_007828 | multi_bus_sensor_fusion | I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitting NMEA strings at 1... | 1. **Bus Contention & Channel Breakdown**:
- **SPI Channel 0**: Dedicated exclusively to high-rate IMU polling (1 kHz loop, 10 MHz SPI clock).
- **SPI Channel 1**: Dedicated to MicroSD / Flash logging (large blocking write blocks must NOT hold up the IMU bus).
- **I2C Channel**: Dedicated 400 kHz Fast-Mode for... | ### Recommended Board: **LN-CB3S V1.0**
| Bus Interface | Peripheral Channel | Assigned Sensor |
| :--- | :--- | :--- |
| **SPI Controller 0** | Dedicated Hardware SPI0 | High-Rate 6-Axis IMU (1 kHz sampling) |
| **SPI Controller 1** | Dedicated Hardware SPI1 | MicroSD Blackbox Logging (Isolated) |
| **I2C Controller*... | <start_of_turn>user
I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitti... | ln-cb3s-v1.0 | LN882HK | Unknown | 302,080 | 1,228,800 |
pyintel_hw_cot_007829 | battery_iot | I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 180 KB of unfragmented dynamic heap (accounting for RTOS kernel ~32 K... | 1. **Constraint Decomposition & Mathematical Budgets**:
- **Power Rail & Voltage**: 3.7V LiPo battery cell requires onboard 3.3V LDO regulator with low quiescent current. Logic level must be strictly 3.3V.
- **Network Stack**: Onboard 2.4 GHz WiFi or BLE transceiver is mandatory.
- **SRAM Sizing Formula**: Req... | ### Recommended Board: **Neoway N58 LTE Cat.1 Module**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `n58` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `RDA8910` | Native dual-core/accelerated processing |
| **Operating Frequency** | 500 MHz | Sufficient t... | <start_of_turn>user
I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 180 KB of unfragmented dynamic heap (accounting f... | n58 | RDA8910 | Neoway Technology Co.Ltd. | 524,288 | 1,048,576 |
pyintel_hw_cot_007830 | display_framebuffer_gui | I am building a handheld medical diagnostic device requiring a 480x320 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 396 KB of contiguous RAM without ca... | 1. **Mathematical Memory Budget Calculation**:
- **Display Dimensions**: 480 pixels width $\times$ 320 pixels height = 153,600 pixels.
- **Color Depth**: RGB565 = 16 bits = 2 bytes per pixel.
- **Single Framebuffer Size**: $480 \times 320 \times 2 = 307,200 \text{ bytes} = 300 \text{ KB}$.
- **LVGL UI Heap ... | ### Recommended Board: **Floppsy**
| Constraint Parameter | Required Budget | Board Capability (`adafruit_floppsy`) |
| :--- | :--- | :--- |
| **Framebuffer Allocation** | 300 KB (480x320 @ 16-bpp RGB565) | Easily allocated in internal SRAM |
| **LVGL GUI Heap** | 64 KB | Supported with substantial overhead |
| **Tota... | <start_of_turn>user
I am building a handheld medical diagnostic device requiring a 480x320 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 396 KB of conti... | adafruit_floppsy | RP2040 | Adafruit | 262,144 | 16,777,216 |
pyintel_hw_cot_007831 | native_usb_emulation | I am designing a hardware Custom USB CDC ACM + WebUSB instrument interface. The device must plug directly into a host PC and enumerate natively without requiring an external USB-to-UART bridge IC (such as CH340 or CP2102). The microcontroller must have an integrated USB 2.0 Full-Speed PHY supporting programmable endpoi... | 1. **Constraint Breakdown**:
- **USB Silicon Architecture**: Must feature on-chip native USB 2.0 PHY with programmable DP/DM lines.
- **Driver Stack**: Must support raw USB endpoint configuration (TinyUSB or native USB device peripheral) for custom descriptor enumeration.
- **Protocol Rejection**: USB-UART bri... | ### Recommended Board: **Adafruit ItsyBitsy 3V/8MHz**
| Requirement | Specification | Verification |
| :--- | :--- | :--- |
| **Board ID** | `itsybitsy32u4_3V` | Registered entry in Open Board Registry |
| **Microcontroller** | `ATMEGA32U4` | Direct native USB 2.0 FS silicon |
| **USB Stack** | TinyUSB / Native Driver... | <start_of_turn>user
I am designing a hardware Custom USB CDC ACM + WebUSB instrument interface. The device must plug directly into a host PC and enumerate natively without requiring an external USB-to-UART bridge IC (such as CH340 or CP2102). The microcontroller must have an integrated USB 2.0 Full-Speed PHY supporting... | itsybitsy32u4_3V | ATMEGA32U4 | Adafruit | 2,560 | 28,672 |
pyintel_hw_cot_007832 | multi_bus_sensor_fusion | I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitting NMEA strings at 1... | 1. **Bus Contention & Channel Breakdown**:
- **SPI Channel 0**: Dedicated exclusively to high-rate IMU polling (1 kHz loop, 10 MHz SPI clock).
- **SPI Channel 1**: Dedicated to MicroSD / Flash logging (large blocking write blocks must NOT hold up the IMU bus).
- **I2C Channel**: Dedicated 400 kHz Fast-Mode for... | ### Recommended Board: **Black STM32F407VG**
| Bus Interface | Peripheral Channel | Assigned Sensor |
| :--- | :--- | :--- |
| **SPI Controller 0** | Dedicated Hardware SPI0 | High-Rate 6-Axis IMU (1 kHz sampling) |
| **SPI Controller 1** | Dedicated Hardware SPI1 | MicroSD Blackbox Logging (Isolated) |
| **I2C Contro... | <start_of_turn>user
I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitti... | black_f407vg | STM32F407VGT6 | ST | 131,072 | 524,288 |
pyintel_hw_cot_007833 | battery_iot | I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 148 KB of unfragmented dynamic heap (accounting for RTOS kernel ~16 K... | 1. **Constraint Decomposition & Mathematical Budgets**:
- **Power Rail & Voltage**: 3.7V LiPo battery cell requires onboard 3.3V LDO regulator with low quiescent current. Logic level must be strictly 3.3V.
- **Network Stack**: Onboard 2.4 GHz WiFi or BLE transceiver is mandatory.
- **SRAM Sizing Formula**: Req... | ### Recommended Board: **TTGO T-Beam**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `ttgo-t-beam` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `ESP32` | Native dual-core/accelerated processing |
| **Operating Frequency** | 240 MHz | Sufficient throughput ... | <start_of_turn>user
I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 148 KB of unfragmented dynamic heap (accounting f... | ttgo-t-beam | ESP32 | TTGO | 1,310,720 | 4,194,304 |
pyintel_hw_cot_007834 | automotive_industrial_can | We are engineering a sub-assembly node for an automotive chassis telemetry bus operating on a 7V–28V DC wide input rail. The module must communicate with the vehicle engine management system over CAN 2.0B / CAN-FD at 1000 kbps. We require a board with hardware CAN controller support, sufficient interrupt handling capab... | 1. **Constraint Analysis**:
- **Bus Protocol**: Hardware CAN / CAN-FD peripheral is required. Bitrate target is 1000 kbps with deterministic acceptance filtering.
- **Power Rail**: Automotive power bus exhibits high ripple and load-dump voltage transients (7V–28V DC wide input). Requires wide DC input step-down r... | ### Recommended Board: **Imbrios LogSens V1P1**
| Parameter | Specification | Functional Advantage |
| :--- | :--- | :--- |
| **Registry ID** | `imbrios-logsens-v1p1` | Registered open-hardware entry |
| **MCU Architecture** | `ESP32` | High-speed real-time core |
| **CAN Bus Interface** | wifi, bluetooth, ethernet, c... | <start_of_turn>user
We are engineering a sub-assembly node for an automotive chassis telemetry bus operating on a 7V–28V DC wide input rail. The module must communicate with the vehicle engine management system over CAN 2.0B / CAN-FD at 1000 kbps. We require a board with hardware CAN controller support, sufficient inte... | imbrios-logsens-v1p1 | ESP32 | Imbrios | 327,680 | 4,194,304 |
pyintel_hw_cot_007835 | battery_iot | I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 144 KB of unfragmented dynamic heap (accounting for RTOS kernel ~32 K... | 1. **Constraint Decomposition & Mathematical Budgets**:
- **Power Rail & Voltage**: 3.7V LiPo battery cell requires onboard 3.3V LDO regulator with low quiescent current. Logic level must be strictly 3.3V.
- **Network Stack**: Onboard 2.4 GHz WiFi or BLE transceiver is mandatory.
- **SRAM Sizing Formula**: Req... | ### Recommended Board: **WB2S Wi-Fi Module**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `wb2s` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `BK7231T` | Native dual-core/accelerated processing |
| **Operating Frequency** | 120 MHz | Sufficient throughput... | <start_of_turn>user
I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 144 KB of unfragmented dynamic heap (accounting f... | wb2s | BK7231T | Tuya Inc. | 262,144 | 1,083,136 |
pyintel_hw_cot_007836 | battery_iot | I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 144 KB of unfragmented dynamic heap (accounting for RTOS kernel ~32 K... | 1. **Constraint Decomposition & Mathematical Budgets**:
- **Power Rail & Voltage**: 3.7V LiPo battery cell requires onboard 3.3V LDO regulator with low quiescent current. Logic level must be strictly 3.3V.
- **Network Stack**: Onboard 2.4 GHz WiFi or BLE transceiver is mandatory.
- **SRAM Sizing Formula**: Req... | ### Recommended Board: **M5Stack Core2**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `m5stack-core2` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `ESP32` | Native dual-core/accelerated processing |
| **Operating Frequency** | 240 MHz | Sufficient through... | <start_of_turn>user
I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 144 KB of unfragmented dynamic heap (accounting f... | m5stack-core2 | ESP32 | M5Stack | 4,521,984 | 16,777,216 |
pyintel_hw_cot_007837 | display_framebuffer_gui | I am building a handheld medical diagnostic device requiring a 320x240 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 214 KB of contiguous RAM without ca... | 1. **Mathematical Memory Budget Calculation**:
- **Display Dimensions**: 320 pixels width $\times$ 240 pixels height = 76,800 pixels.
- **Color Depth**: RGB565 = 16 bits = 2 bytes per pixel.
- **Single Framebuffer Size**: $320 \times 240 \times 2 = 153,600 \text{ bytes} = 150 \text{ KB}$.
- **LVGL UI Heap &... | ### Recommended Board: **Challenger 2350 WiFi/BLE**
| Constraint Parameter | Required Budget | Board Capability (`challenger_2350_wifi6_ble5`) |
| :--- | :--- | :--- |
| **Framebuffer Allocation** | 150 KB (320x240 @ 16-bpp RGB565) | Easily allocated in internal SRAM |
| **LVGL GUI Heap** | 32 KB | Supported with subs... | <start_of_turn>user
I am building a handheld medical diagnostic device requiring a 320x240 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 214 KB of conti... | challenger_2350_wifi6_ble5 | RP2350 | iLabs | 524,288 | 8,388,608 |
pyintel_hw_cot_007838 | native_usb_emulation | I am designing a hardware Custom USB CDC ACM + WebUSB instrument interface. The device must plug directly into a host PC and enumerate natively without requiring an external USB-to-UART bridge IC (such as CH340 or CP2102). The microcontroller must have an integrated USB 2.0 Full-Speed PHY supporting programmable endpoi... | 1. **Constraint Breakdown**:
- **USB Silicon Architecture**: Must feature on-chip native USB 2.0 PHY with programmable DP/DM lines.
- **Driver Stack**: Must support raw USB endpoint configuration (TinyUSB or native USB device peripheral) for custom descriptor enumeration.
- **Protocol Rejection**: USB-UART bri... | ### Recommended Board: **Adafruit QT Py ESP32-S3 No PSRAM**
| Requirement | Specification | Verification |
| :--- | :--- | :--- |
| **Board ID** | `adafruit_qtpy_esp32s3_nopsram` | Registered entry in Open Board Registry |
| **Microcontroller** | `ESP32S3` | Direct native USB 2.0 FS silicon |
| **USB Stack** | TinyUSB... | <start_of_turn>user
I am designing a hardware Custom USB CDC ACM + WebUSB instrument interface. The device must plug directly into a host PC and enumerate natively without requiring an external USB-to-UART bridge IC (such as CH340 or CP2102). The microcontroller must have an integrated USB 2.0 Full-Speed PHY supporting... | adafruit_qtpy_esp32s3_nopsram | ESP32S3 | Adafruit | 327,680 | 8,388,608 |
pyintel_hw_cot_007839 | edge_audio_dsp | I am building an embedded real-time audio analysis module capturing acoustic emissions via an I2S MEMS microphone. The firmware must compute continuous 512-point complex Fast Fourier Transforms (FFT) at 44.1 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support circular DMA I2S doub... | 1. **Mathematical DSP & Throughput Budget**:
- **Audio Throughput**: Sampling at 44.1 kHz 16-bit mono produces $44.1 \times 10^3 \times 2 \approx 88,200 \text{ bytes/sec}$.
- **FFT Window Duration**: A 512-point buffer represents $T_{window} = 512 / (44.1 \times 10^3) \approx 11.61 \text{ ms}$.
- **Processing ... | ### Recommended Board: **T1-M Wi-Fi Module**
| DSP Parameter | Value | Advantage |
| :--- | :--- | :--- |
| **Board ID** | `t1-m` | Verified Open Board Registry entry |
| **Processor Core** | `BK7238` | Hardware FPU & DSP SIMD extensions |
| **Clock Speed** | 120 MHz | FFT computes in $< 2 \text{ ms}$ (well below 11.6... | <start_of_turn>user
I am building an embedded real-time audio analysis module capturing acoustic emissions via an I2S MEMS microphone. The firmware must compute continuous 512-point complex Fast Fourier Transforms (FFT) at 44.1 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support c... | t1-m | BK7238 | Tuya Inc. | 262,144 | 1,083,136 |
pyintel_hw_cot_007840 | automotive_industrial_can | We are engineering a sub-assembly node for an automotive chassis telemetry bus operating on a 12V rail. The module must communicate with the vehicle engine management system over CAN 2.0B / CAN-FD at 1000 kbps. We require a board with hardware CAN controller support, sufficient interrupt handling capability for 1,000 f... | 1. **Constraint Analysis**:
- **Bus Protocol**: Hardware CAN / CAN-FD peripheral is required. Bitrate target is 1000 kbps with deterministic acceptance filtering.
- **Power Rail**: Automotive power bus exhibits high ripple and load-dump voltage transients (12V). Requires wide DC input step-down regulator or autom... | ### Recommended Board: **Freescale Kinetis FRDM-K22F**
| Parameter | Specification | Functional Advantage |
| :--- | :--- | :--- |
| **Registry ID** | `frdm_k22f` | Registered open-hardware entry |
| **MCU Architecture** | `MK22FN512VLH12` | High-speed real-time core |
| **CAN Bus Interface** | can | Hardware frame fi... | <start_of_turn>user
We are engineering a sub-assembly node for an automotive chassis telemetry bus operating on a 12V rail. The module must communicate with the vehicle engine management system over CAN 2.0B / CAN-FD at 1000 kbps. We require a board with hardware CAN controller support, sufficient interrupt handling ca... | frdm_k22f | MK22FN512VLH12 | Freescale | 131,072 | 524,288 |
pyintel_hw_cot_007841 | display_framebuffer_gui | I am building a handheld medical diagnostic device requiring a 240x240 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 240 KB of contiguous RAM without ca... | 1. **Mathematical Memory Budget Calculation**:
- **Display Dimensions**: 240 pixels width $\times$ 240 pixels height = 57,600 pixels.
- **Color Depth**: RGB565 = 16 bits = 2 bytes per pixel.
- **Single Framebuffer Size**: $240 \times 240 \times 2 = 115,200 \text{ bytes} = 112 \text{ KB}$.
- **LVGL UI Heap &... | ### Recommended Board: **ProtoCentral HealthyPi 4**
| Constraint Parameter | Required Budget | Board Capability (`healthypi4`) |
| :--- | :--- | :--- |
| **Framebuffer Allocation** | 112 KB (240x240 @ 16-bpp RGB565) | Easily allocated in internal SRAM |
| **LVGL GUI Heap** | 96 KB | Supported with substantial overhead... | <start_of_turn>user
I am building a handheld medical diagnostic device requiring a 240x240 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 240 KB of conti... | healthypi4 | ESP32 | ProtoCentral | 327,680 | 4,194,304 |
pyintel_hw_cot_007842 | edge_audio_dsp | I am building an embedded real-time audio analysis module capturing acoustic emissions via an I2S MEMS microphone. The firmware must compute continuous 512-point complex Fast Fourier Transforms (FFT) at 96.0 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support circular DMA I2S doub... | 1. **Mathematical DSP & Throughput Budget**:
- **Audio Throughput**: Sampling at 96.0 kHz 16-bit mono produces $96.0 \times 10^3 \times 2 \approx 192,000 \text{ bytes/sec}$.
- **FFT Window Duration**: A 512-point buffer represents $T_{window} = 512 / (96.0 \times 10^3) \approx 5.33 \text{ ms}$.
- **Processing ... | ### Recommended Board: **WL2S Wi-Fi/BLE Module**
| DSP Parameter | Value | Advantage |
| :--- | :--- | :--- |
| **Board ID** | `wl2s` | Verified Open Board Registry entry |
| **Processor Core** | `LN882HK` | Hardware FPU & DSP SIMD extensions |
| **Clock Speed** | 160 MHz | FFT computes in $< 2 \text{ ms}$ (well below... | <start_of_turn>user
I am building an embedded real-time audio analysis module capturing acoustic emissions via an I2S MEMS microphone. The firmware must compute continuous 512-point complex Fast Fourier Transforms (FFT) at 96.0 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support c... | wl2s | LN882HK | Unknown | 302,080 | 1,228,800 |
pyintel_hw_cot_007843 | display_framebuffer_gui | I am building a handheld medical diagnostic device requiring a 480x320 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 396 KB of contiguous RAM without ca... | 1. **Mathematical Memory Budget Calculation**:
- **Display Dimensions**: 480 pixels width $\times$ 320 pixels height = 153,600 pixels.
- **Color Depth**: RGB565 = 16 bits = 2 bytes per pixel.
- **Single Framebuffer Size**: $480 \times 320 \times 2 = 307,200 \text{ bytes} = 300 \text{ KB}$.
- **LVGL UI Heap ... | ### Recommended Board: **Blues Swan R5**
| Constraint Parameter | Required Budget | Board Capability (`blues_swan_r5`) |
| :--- | :--- | :--- |
| **Framebuffer Allocation** | 300 KB (480x320 @ 16-bpp RGB565) | Easily allocated in internal SRAM |
| **LVGL GUI Heap** | 64 KB | Supported with substantial overhead |
| **T... | <start_of_turn>user
I am building a handheld medical diagnostic device requiring a 480x320 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 396 KB of conti... | blues_swan_r5 | STM32L4R5ZIY6 | Blues | 655,360 | 2,097,152 |
pyintel_hw_cot_007844 | robotics_foc_motion | I am building a precision robotic joint controller executing Field Oriented Control (FOC) for a brushless DC (BLDC) motor. The control loop operates at 20 kHz PWM frequency with 3-phase complementary outputs and dead-time insertion. I require fast dual/triple ADC sampling synchronized with PWM center-alignment to read ... | 1. **Timing & Math Budget**:
- **Loop Period**: At 20 kHz PWM, each control cycle is $T = 1 / 20\text{ kHz} = 50.0\,\mu\text{s}$.
- **Calculations per Cycle**: Clarke and Park transformations, PI current controllers, and Space Vector Modulation (SVM) require $\approx 800\text{--}1,500$ CPU cycles.
- **Clock Re... | ### Recommended Board: **FYSETC S6**
| Architectural Feature | Specification | Role in FOC Algorithm |
| :--- | :--- | :--- |
| **Board ID** | `fysetc_s6` | Verified Open Board Registry entry |
| **MCU Core** | `STM32F446VET6` | High-speed real-time core with hardware math |
| **Core Clock** | 168 MHz | Completes FOC ... | <start_of_turn>user
I am building a precision robotic joint controller executing Field Oriented Control (FOC) for a brushless DC (BLDC) motor. The control loop operates at 20 kHz PWM frequency with 3-phase complementary outputs and dead-time insertion. I require fast dual/triple ADC sampling synchronized with PWM cente... | fysetc_s6 | STM32F446VET6 | FYSETC | 131,072 | 524,288 |
pyintel_hw_cot_007845 | battery_iot | I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 116 KB of unfragmented dynamic heap (accounting for RTOS kernel ~16 K... | 1. **Constraint Decomposition & Mathematical Budgets**:
- **Power Rail & Voltage**: 3.7V LiPo battery cell requires onboard 3.3V LDO regulator with low quiescent current. Logic level must be strictly 3.3V.
- **Network Stack**: Onboard 2.4 GHz WiFi or BLE transceiver is mandatory.
- **SRAM Sizing Formula**: Req... | ### Recommended Board: **Fibocom L610 LTE Cat.1 Module**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `l610` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `RDA8910` | Native dual-core/accelerated processing |
| **Operating Frequency** | 500 MHz | Sufficien... | <start_of_turn>user
I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 116 KB of unfragmented dynamic heap (accounting f... | l610 | RDA8910 | Fibocom Wireless Inc. | 524,288 | 1,048,576 |
pyintel_hw_cot_007846 | battery_iot | I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 120 KB of unfragmented dynamic heap (accounting for RTOS kernel ~24 K... | 1. **Constraint Decomposition & Mathematical Budgets**:
- **Power Rail & Voltage**: 3.7V LiPo battery cell requires onboard 3.3V LDO regulator with low quiescent current. Logic level must be strictly 3.3V.
- **Network Stack**: Onboard 2.4 GHz WiFi or BLE transceiver is mandatory.
- **SRAM Sizing Formula**: Req... | ### Recommended Board: **Adafruit MagTag 2.9**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `adafruit_magtag29_esp32s2` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `ESP32S2` | Native dual-core/accelerated processing |
| **Operating Frequency** | 240 MHz ... | <start_of_turn>user
I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 120 KB of unfragmented dynamic heap (accounting f... | adafruit_magtag29_esp32s2 | ESP32S2 | Adafruit | 327,680 | 4,194,304 |
pyintel_hw_cot_007847 | display_framebuffer_gui | I am building a handheld medical diagnostic device requiring a 480x320 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 396 KB of contiguous RAM without ca... | 1. **Mathematical Memory Budget Calculation**:
- **Display Dimensions**: 480 pixels width $\times$ 320 pixels height = 153,600 pixels.
- **Color Depth**: RGB565 = 16 bits = 2 bytes per pixel.
- **Single Framebuffer Size**: $480 \times 320 \times 2 = 307,200 \text{ bytes} = 300 \text{ KB}$.
- **LVGL UI Heap ... | ### Recommended Board: **ST Nucleo L496ZG-P**
| Constraint Parameter | Required Budget | Board Capability (`nucleo_l496zg_p`) |
| :--- | :--- | :--- |
| **Framebuffer Allocation** | 300 KB (480x320 @ 16-bpp RGB565) | Easily allocated in internal SRAM |
| **LVGL GUI Heap** | 64 KB | Supported with substantial overhead ... | <start_of_turn>user
I am building a handheld medical diagnostic device requiring a 480x320 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 396 KB of conti... | nucleo_l496zg_p | STM32L496ZGT6P | ST | 327,680 | 1,048,576 |
pyintel_hw_cot_007848 | robotics_foc_motion | I am building a precision robotic joint controller executing Field Oriented Control (FOC) for a brushless DC (BLDC) motor. The control loop operates at 25 kHz PWM frequency with 3-phase complementary outputs and dead-time insertion. I require fast dual/triple ADC sampling synchronized with PWM center-alignment to read ... | 1. **Timing & Math Budget**:
- **Loop Period**: At 25 kHz PWM, each control cycle is $T = 1 / 25\text{ kHz} = 40.0\,\mu\text{s}$.
- **Calculations per Cycle**: Clarke and Park transformations, PI current controllers, and Space Vector Modulation (SVM) require $\approx 800\text{--}1,500$ CPU cycles.
- **Clock Re... | ### Recommended Board: **YD RP2040**
| Architectural Feature | Specification | Role in FOC Algorithm |
| :--- | :--- | :--- |
| **Board ID** | `vccgnd_yd_rp2040` | Verified Open Board Registry entry |
| **MCU Core** | `RP2040` | High-speed real-time core with hardware math |
| **Core Clock** | 133 MHz | Completes FOC ... | <start_of_turn>user
I am building a precision robotic joint controller executing Field Oriented Control (FOC) for a brushless DC (BLDC) motor. The control loop operates at 25 kHz PWM frequency with 3-phase complementary outputs and dead-time insertion. I require fast dual/triple ADC sampling synchronized with PWM cente... | vccgnd_yd_rp2040 | RP2040 | VCC-GND | 262,144 | 16,777,216 |
pyintel_hw_cot_007849 | robotics_foc_motion | I am building a precision robotic joint controller executing Field Oriented Control (FOC) for a brushless DC (BLDC) motor. The control loop operates at 40 kHz PWM frequency with 3-phase complementary outputs and dead-time insertion. I require fast dual/triple ADC sampling synchronized with PWM center-alignment to read ... | 1. **Timing & Math Budget**:
- **Loop Period**: At 40 kHz PWM, each control cycle is $T = 1 / 40\text{ kHz} = 25.0\,\mu\text{s}$.
- **Calculations per Cycle**: Clarke and Park transformations, PI current controllers, and Space Vector Modulation (SVM) require $\approx 800\text{--}1,500$ CPU cycles.
- **Clock Re... | ### Recommended Board: **Cookie RP2040**
| Architectural Feature | Specification | Role in FOC Algorithm |
| :--- | :--- | :--- |
| **Board ID** | `melopero_cookie_rp2040` | Verified Open Board Registry entry |
| **MCU Core** | `RP2040` | High-speed real-time core with hardware math |
| **Core Clock** | 133 MHz | Comp... | <start_of_turn>user
I am building a precision robotic joint controller executing Field Oriented Control (FOC) for a brushless DC (BLDC) motor. The control loop operates at 40 kHz PWM frequency with 3-phase complementary outputs and dead-time insertion. I require fast dual/triple ADC sampling synchronized with PWM cente... | melopero_cookie_rp2040 | RP2040 | Melopero | 262,144 | 8,388,608 |
pyintel_hw_cot_007850 | native_usb_emulation | I am designing a hardware USB HID Macro Keyboard & Mouse composite device. The device must plug directly into a host PC and enumerate natively without requiring an external USB-to-UART bridge IC (such as CH340 or CP2102). The microcontroller must have an integrated USB 2.0 Full-Speed PHY supporting programmable endpoin... | 1. **Constraint Breakdown**:
- **USB Silicon Architecture**: Must feature on-chip native USB 2.0 PHY with programmable DP/DM lines.
- **Driver Stack**: Must support raw USB endpoint configuration (TinyUSB or native USB device peripheral) for custom descriptor enumeration.
- **Protocol Rejection**: USB-UART bri... | ### Recommended Board: **Feather RP2040 Adalogger**
| Requirement | Specification | Verification |
| :--- | :--- | :--- |
| **Board ID** | `adafruit_feather_adalogger` | Registered entry in Open Board Registry |
| **Microcontroller** | `RP2040` | Direct native USB 2.0 FS silicon |
| **USB Stack** | TinyUSB / Native Dr... | <start_of_turn>user
I am designing a hardware USB HID Macro Keyboard & Mouse composite device. The device must plug directly into a host PC and enumerate natively without requiring an external USB-to-UART bridge IC (such as CH340 or CP2102). The microcontroller must have an integrated USB 2.0 Full-Speed PHY supporting ... | adafruit_feather_adalogger | RP2040 | Adafruit | 262,144 | 8,388,608 |
pyintel_hw_cot_007851 | automotive_industrial_can | We are engineering a sub-assembly node for an automotive chassis telemetry bus operating on a 7V–28V DC wide input rail. The module must communicate with the vehicle engine management system over CAN 2.0B / CAN-FD at 1000 kbps. We require a board with hardware CAN controller support, sufficient interrupt handling capab... | 1. **Constraint Analysis**:
- **Bus Protocol**: Hardware CAN / CAN-FD peripheral is required. Bitrate target is 1000 kbps with deterministic acceptance filtering.
- **Power Rail**: Automotive power bus exhibits high ripple and load-dump voltage transients (7V–28V DC wide input). Requires wide DC input step-down r... | ### Recommended Board: **ST Nucleo H723ZG**
| Parameter | Specification | Functional Advantage |
| :--- | :--- | :--- |
| **Registry ID** | `nucleo_h723zg` | Registered open-hardware entry |
| **MCU Architecture** | `STM32H723ZGT6` | High-speed real-time core |
| **CAN Bus Interface** | can, ethernet | Hardware frame ... | <start_of_turn>user
We are engineering a sub-assembly node for an automotive chassis telemetry bus operating on a 7V–28V DC wide input rail. The module must communicate with the vehicle engine management system over CAN 2.0B / CAN-FD at 1000 kbps. We require a board with hardware CAN controller support, sufficient inte... | nucleo_h723zg | STM32H723ZGT6 | ST | 327,680 | 1,048,576 |
pyintel_hw_cot_007852 | display_framebuffer_gui | I am building a handheld medical diagnostic device requiring a 320x240 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 278 KB of contiguous RAM without ca... | 1. **Mathematical Memory Budget Calculation**:
- **Display Dimensions**: 320 pixels width $\times$ 240 pixels height = 76,800 pixels.
- **Color Depth**: RGB565 = 16 bits = 2 bytes per pixel.
- **Single Framebuffer Size**: $320 \times 240 \times 2 = 153,600 \text{ bytes} = 150 \text{ KB}$.
- **LVGL UI Heap &... | ### Recommended Board: **microS2**
| Constraint Parameter | Required Budget | Board Capability (`micros2`) |
| :--- | :--- | :--- |
| **Framebuffer Allocation** | 150 KB (320x240 @ 16-bpp RGB565) | Easily allocated in internal SRAM |
| **LVGL GUI Heap** | 96 KB | Supported with substantial overhead |
| **Total SRAM Av... | <start_of_turn>user
I am building a handheld medical diagnostic device requiring a 320x240 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 278 KB of conti... | micros2 | ESP32S2 | microS2 | 327,680 | 16,777,216 |
pyintel_hw_cot_007853 | automotive_industrial_can | We are engineering a sub-assembly node for an automotive chassis telemetry bus operating on a 24V rail. The module must communicate with the vehicle engine management system over CAN 2.0B / CAN-FD at 500 kbps. We require a board with hardware CAN controller support, sufficient interrupt handling capability for 1,000 fr... | 1. **Constraint Analysis**:
- **Bus Protocol**: Hardware CAN / CAN-FD peripheral is required. Bitrate target is 500 kbps with deterministic acceptance filtering.
- **Power Rail**: Automotive power bus exhibits high ripple and load-dump voltage transients (24V). Requires wide DC input step-down regulator or automo... | ### Recommended Board: **ST Discovery F072RB**
| Parameter | Specification | Functional Advantage |
| :--- | :--- | :--- |
| **Registry ID** | `disco_f072rb` | Registered open-hardware entry |
| **MCU Architecture** | `STM32F072RBT6` | High-speed real-time core |
| **CAN Bus Interface** | can | Hardware frame filtrati... | <start_of_turn>user
We are engineering a sub-assembly node for an automotive chassis telemetry bus operating on a 24V rail. The module must communicate with the vehicle engine management system over CAN 2.0B / CAN-FD at 500 kbps. We require a board with hardware CAN controller support, sufficient interrupt handling cap... | disco_f072rb | STM32F072RBT6 | ST | 16,384 | 131,072 |
pyintel_hw_cot_007854 | multi_bus_sensor_fusion | I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitting NMEA strings at 1... | 1. **Bus Contention & Channel Breakdown**:
- **SPI Channel 0**: Dedicated exclusively to high-rate IMU polling (1 kHz loop, 10 MHz SPI clock).
- **SPI Channel 1**: Dedicated to MicroSD / Flash logging (large blocking write blocks must NOT hold up the IMU bus).
- **I2C Channel**: Dedicated 400 kHz Fast-Mode for... | ### Recommended Board: **ESP32 Pico Kit**
| Bus Interface | Peripheral Channel | Assigned Sensor |
| :--- | :--- | :--- |
| **SPI Controller 0** | Dedicated Hardware SPI0 | High-Rate 6-Axis IMU (1 kHz sampling) |
| **SPI Controller 1** | Dedicated Hardware SPI1 | MicroSD Blackbox Logging (Isolated) |
| **I2C Controlle... | <start_of_turn>user
I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitti... | pico32 | ESP32 | Espressif | 327,680 | 4,194,304 |
pyintel_hw_cot_007855 | battery_iot | I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 132 KB of unfragmented dynamic heap (accounting for RTOS kernel ~32 K... | 1. **Constraint Decomposition & Mathematical Budgets**:
- **Power Rail & Voltage**: 3.7V LiPo battery cell requires onboard 3.3V LDO regulator with low quiescent current. Logic level must be strictly 3.3V.
- **Network Stack**: Onboard 2.4 GHz WiFi or BLE transceiver is mandatory.
- **SRAM Sizing Formula**: Req... | ### Recommended Board: **DFRobot Firebeetle 2 ESP32-E**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `dfrobot_firebeetle2_esp32e` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `ESP32` | Native dual-core/accelerated processing |
| **Operating Frequency** | ... | <start_of_turn>user
I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 132 KB of unfragmented dynamic heap (accounting f... | dfrobot_firebeetle2_esp32e | ESP32 | DFRobot | 327,680 | 4,194,304 |
pyintel_hw_cot_007856 | robotics_foc_motion | I am building a precision robotic joint controller executing Field Oriented Control (FOC) for a brushless DC (BLDC) motor. The control loop operates at 20 kHz PWM frequency with 3-phase complementary outputs and dead-time insertion. I require fast dual/triple ADC sampling synchronized with PWM center-alignment to read ... | 1. **Timing & Math Budget**:
- **Loop Period**: At 20 kHz PWM, each control cycle is $T = 1 / 20\text{ kHz} = 50.0\,\mu\text{s}$.
- **Calculations per Cycle**: Clarke and Park transformations, PI current controllers, and Space Vector Modulation (SVM) require $\approx 800\text{--}1,500$ CPU cycles.
- **Clock Re... | ### Recommended Board: **ST Nucleo L486RG**
| Architectural Feature | Specification | Role in FOC Algorithm |
| :--- | :--- | :--- |
| **Board ID** | `nucleo_l486rg` | Verified Open Board Registry entry |
| **MCU Core** | `STM32L486RGT6` | High-speed real-time core with hardware math |
| **Core Clock** | 80 MHz | Comp... | <start_of_turn>user
I am building a precision robotic joint controller executing Field Oriented Control (FOC) for a brushless DC (BLDC) motor. The control loop operates at 20 kHz PWM frequency with 3-phase complementary outputs and dead-time insertion. I require fast dual/triple ADC sampling synchronized with PWM cente... | nucleo_l486rg | STM32L486RGT6 | ST | 131,072 | 1,048,576 |
pyintel_hw_cot_007857 | edge_audio_dsp | I am building an embedded real-time audio analysis module capturing acoustic emissions via an I2S MEMS microphone. The firmware must compute continuous 2048-point complex Fast Fourier Transforms (FFT) at 48.0 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support circular DMA I2S dou... | 1. **Mathematical DSP & Throughput Budget**:
- **Audio Throughput**: Sampling at 48.0 kHz 16-bit mono produces $48.0 \times 10^3 \times 2 \approx 96,000 \text{ bytes/sec}$.
- **FFT Window Duration**: A 2048-point buffer represents $T_{window} = 2048 / (48.0 \times 10^3) \approx 42.67 \text{ ms}$.
- **Processin... | ### Recommended Board: **STM32F407IG (192k RAM. 1024k Flash)**
| DSP Parameter | Value | Advantage |
| :--- | :--- | :--- |
| **Board ID** | `genericSTM32F407IGT6` | Verified Open Board Registry entry |
| **Processor Core** | `STM32F407IGT6` | Hardware FPU & DSP SIMD extensions |
| **Clock Speed** | 168 MHz | FFT comp... | <start_of_turn>user
I am building an embedded real-time audio analysis module capturing acoustic emissions via an I2S MEMS microphone. The firmware must compute continuous 2048-point complex Fast Fourier Transforms (FFT) at 48.0 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support ... | genericSTM32F407IGT6 | STM32F407IGT6 | Generic | 131,072 | 1,048,576 |
pyintel_hw_cot_007858 | native_usb_emulation | I am designing a hardware USB HID Macro Keyboard & Mouse composite device. The device must plug directly into a host PC and enumerate natively without requiring an external USB-to-UART bridge IC (such as CH340 or CP2102). The microcontroller must have an integrated USB 2.0 Full-Speed PHY supporting programmable endpoin... | 1. **Constraint Breakdown**:
- **USB Silicon Architecture**: Must feature on-chip native USB 2.0 PHY with programmable DP/DM lines.
- **Driver Stack**: Must support raw USB endpoint configuration (TinyUSB or native USB device peripheral) for custom descriptor enumeration.
- **Protocol Rejection**: USB-UART bri... | ### Recommended Board: **microS2**
| Requirement | Specification | Verification |
| :--- | :--- | :--- |
| **Board ID** | `micros2` | Registered entry in Open Board Registry |
| **Microcontroller** | `ESP32S2` | Direct native USB 2.0 FS silicon |
| **USB Stack** | TinyUSB / Native Driver | Custom HID/MIDI/CDC descript... | <start_of_turn>user
I am designing a hardware USB HID Macro Keyboard & Mouse composite device. The device must plug directly into a host PC and enumerate natively without requiring an external USB-to-UART bridge IC (such as CH340 or CP2102). The microcontroller must have an integrated USB 2.0 Full-Speed PHY supporting ... | micros2 | ESP32S2 | microS2 | 327,680 | 16,777,216 |
pyintel_hw_cot_007859 | display_framebuffer_gui | I am building a handheld medical diagnostic device requiring a 480x320 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 364 KB of contiguous RAM without ca... | 1. **Mathematical Memory Budget Calculation**:
- **Display Dimensions**: 480 pixels width $\times$ 320 pixels height = 153,600 pixels.
- **Color Depth**: RGB565 = 16 bits = 2 bytes per pixel.
- **Single Framebuffer Size**: $480 \times 320 \times 2 = 307,200 \text{ bytes} = 300 \text{ KB}$.
- **LVGL UI Heap ... | ### Recommended Board: **Adafruit PyPortal M4 Titano**
| Constraint Parameter | Required Budget | Board Capability (`adafruit_pyportal_m4_titano`) |
| :--- | :--- | :--- |
| **Framebuffer Allocation** | 300 KB (480x320 @ 16-bpp RGB565) | Easily allocated in internal SRAM |
| **LVGL GUI Heap** | 32 KB | Supported with ... | <start_of_turn>user
I am building a handheld medical diagnostic device requiring a 480x320 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 364 KB of conti... | adafruit_pyportal_m4_titano | SAMD51J20A | Adafruit | 262,144 | 1,048,576 |
pyintel_hw_cot_007860 | robotics_foc_motion | I am building a precision robotic joint controller executing Field Oriented Control (FOC) for a brushless DC (BLDC) motor. The control loop operates at 25 kHz PWM frequency with 3-phase complementary outputs and dead-time insertion. I require fast dual/triple ADC sampling synchronized with PWM center-alignment to read ... | 1. **Timing & Math Budget**:
- **Loop Period**: At 25 kHz PWM, each control cycle is $T = 1 / 25\text{ kHz} = 40.0\,\mu\text{s}$.
- **Calculations per Cycle**: Clarke and Park transformations, PI current controllers, and Space Vector Modulation (SVM) require $\approx 800\text{--}1,500$ CPU cycles.
- **Clock Re... | ### Recommended Board: **RP2350 Stamp XL**
| Architectural Feature | Specification | Role in FOC Algorithm |
| :--- | :--- | :--- |
| **Board ID** | `solderparty_rp2350_stamp_xl` | Verified Open Board Registry entry |
| **MCU Core** | `RP2350` | High-speed real-time core with hardware math |
| **Core Clock** | 150 MHz... | <start_of_turn>user
I am building a precision robotic joint controller executing Field Oriented Control (FOC) for a brushless DC (BLDC) motor. The control loop operates at 25 kHz PWM frequency with 3-phase complementary outputs and dead-time insertion. I require fast dual/triple ADC sampling synchronized with PWM cente... | solderparty_rp2350_stamp_xl | RP2350 | Solder Party | 524,288 | 16,777,216 |
pyintel_hw_cot_007861 | display_framebuffer_gui | I am building a handheld medical diagnostic device requiring a 240x240 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 208 KB of contiguous RAM without ca... | 1. **Mathematical Memory Budget Calculation**:
- **Display Dimensions**: 240 pixels width $\times$ 240 pixels height = 57,600 pixels.
- **Color Depth**: RGB565 = 16 bits = 2 bytes per pixel.
- **Single Framebuffer Size**: $240 \times 240 \times 2 = 115,200 \text{ bytes} = 112 \text{ KB}$.
- **LVGL UI Heap &... | ### Recommended Board: **NXP i.MX RT1020 Evaluation Kit**
| Constraint Parameter | Required Budget | Board Capability (`mimxrt1020_evk`) |
| :--- | :--- | :--- |
| **Framebuffer Allocation** | 112 KB (240x240 @ 16-bpp RGB565) | Easily allocated in internal SRAM |
| **LVGL GUI Heap** | 64 KB | Supported with substantia... | <start_of_turn>user
I am building a handheld medical diagnostic device requiring a 240x240 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 208 KB of conti... | mimxrt1020_evk | MIMXRT1021DAG5A | NXP | 33,554,432 | 8,388,608 |
pyintel_hw_cot_007862 | native_usb_emulation | I am designing a hardware USB HID Macro Keyboard & Mouse composite device. The device must plug directly into a host PC and enumerate natively without requiring an external USB-to-UART bridge IC (such as CH340 or CP2102). The microcontroller must have an integrated USB 2.0 Full-Speed PHY supporting programmable endpoin... | 1. **Constraint Breakdown**:
- **USB Silicon Architecture**: Must feature on-chip native USB 2.0 PHY with programmable DP/DM lines.
- **Driver Stack**: Must support raw USB endpoint configuration (TinyUSB or native USB device peripheral) for custom descriptor enumeration.
- **Protocol Rejection**: USB-UART bri... | ### Recommended Board: **Adafruit ItsyBitsy 3V/8MHz**
| Requirement | Specification | Verification |
| :--- | :--- | :--- |
| **Board ID** | `itsybitsy32u4_3V` | Registered entry in Open Board Registry |
| **Microcontroller** | `ATMEGA32U4` | Direct native USB 2.0 FS silicon |
| **USB Stack** | TinyUSB / Native Driver... | <start_of_turn>user
I am designing a hardware USB HID Macro Keyboard & Mouse composite device. The device must plug directly into a host PC and enumerate natively without requiring an external USB-to-UART bridge IC (such as CH340 or CP2102). The microcontroller must have an integrated USB 2.0 Full-Speed PHY supporting ... | itsybitsy32u4_3V | ATMEGA32U4 | Adafruit | 2,560 | 28,672 |
pyintel_hw_cot_007863 | display_framebuffer_gui | I am building a handheld medical diagnostic device requiring a 320x240 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 246 KB of contiguous RAM without ca... | 1. **Mathematical Memory Budget Calculation**:
- **Display Dimensions**: 320 pixels width $\times$ 240 pixels height = 76,800 pixels.
- **Color Depth**: RGB565 = 16 bits = 2 bytes per pixel.
- **Single Framebuffer Size**: $320 \times 240 \times 2 = 153,600 \text{ bytes} = 150 \text{ KB}$.
- **LVGL UI Heap &... | ### Recommended Board: **OLIMEX ESP32-EVB**
| Constraint Parameter | Required Budget | Board Capability (`esp32-evb`) |
| :--- | :--- | :--- |
| **Framebuffer Allocation** | 150 KB (320x240 @ 16-bpp RGB565) | Easily allocated in internal SRAM |
| **LVGL GUI Heap** | 64 KB | Supported with substantial overhead |
| **To... | <start_of_turn>user
I am building a handheld medical diagnostic device requiring a 320x240 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 246 KB of conti... | esp32-evb | ESP32 | OLIMEX | 327,680 | 4,194,304 |
pyintel_hw_cot_007864 | battery_iot | I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 164 KB of unfragmented dynamic heap (accounting for RTOS kernel ~24 K... | 1. **Constraint Decomposition & Mathematical Budgets**:
- **Power Rail & Voltage**: 3.7V LiPo battery cell requires onboard 3.3V LDO regulator with low quiescent current. Logic level must be strictly 3.3V.
- **Network Stack**: Onboard 2.4 GHz WiFi or BLE transceiver is mandatory.
- **SRAM Sizing Formula**: Req... | ### Recommended Board: **SparkFun ESP32 Thing Plus C**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `sparkfun_esp32s2_thing_plus_c` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `ESP32` | Native dual-core/accelerated processing |
| **Operating Frequency** ... | <start_of_turn>user
I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 164 KB of unfragmented dynamic heap (accounting f... | sparkfun_esp32s2_thing_plus_c | ESP32 | SparkFun | 327,680 | 16,777,216 |
pyintel_hw_cot_007865 | native_usb_emulation | I am designing a hardware USB MIDI controller with low-jitter serial streaming. The device must plug directly into a host PC and enumerate natively without requiring an external USB-to-UART bridge IC (such as CH340 or CP2102). The microcontroller must have an integrated USB 2.0 Full-Speed PHY supporting programmable en... | 1. **Constraint Breakdown**:
- **USB Silicon Architecture**: Must feature on-chip native USB 2.0 PHY with programmable DP/DM lines.
- **Driver Stack**: Must support raw USB endpoint configuration (TinyUSB or native USB device peripheral) for custom descriptor enumeration.
- **Protocol Rejection**: USB-UART bri... | ### Recommended Board: **Adafruit QT Py ESP32-S3 (4M Flash 2M PSRAM)**
| Requirement | Specification | Verification |
| :--- | :--- | :--- |
| **Board ID** | `adafruit_qtpy_esp32s3_n4r2` | Registered entry in Open Board Registry |
| **Microcontroller** | `ESP32S3` | Direct native USB 2.0 FS silicon |
| **USB Stack** |... | <start_of_turn>user
I am designing a hardware USB MIDI controller with low-jitter serial streaming. The device must plug directly into a host PC and enumerate natively without requiring an external USB-to-UART bridge IC (such as CH340 or CP2102). The microcontroller must have an integrated USB 2.0 Full-Speed PHY suppor... | adafruit_qtpy_esp32s3_n4r2 | ESP32S3 | Adafruit | 327,680 | 4,194,304 |
pyintel_hw_cot_007866 | robotics_foc_motion | I am building a precision robotic joint controller executing Field Oriented Control (FOC) for a brushless DC (BLDC) motor. The control loop operates at 40 kHz PWM frequency with 3-phase complementary outputs and dead-time insertion. I require fast dual/triple ADC sampling synchronized with PWM center-alignment to read ... | 1. **Timing & Math Budget**:
- **Loop Period**: At 40 kHz PWM, each control cycle is $T = 1 / 40\text{ kHz} = 25.0\,\mu\text{s}$.
- **Calculations per Cycle**: Clarke and Park transformations, PI current controllers, and Space Vector Modulation (SVM) require $\approx 800\text{--}1,500$ CPU cycles.
- **Clock Re... | ### Recommended Board: **Big Tree Tech EBB42 V1.1**
| Architectural Feature | Specification | Role in FOC Algorithm |
| :--- | :--- | :--- |
| **Board ID** | `btt_ebb42_v1_1` | Verified Open Board Registry entry |
| **MCU Core** | `STM32G0B1RET6` | High-speed real-time core with hardware math |
| **Core Clock** | 64 M... | <start_of_turn>user
I am building a precision robotic joint controller executing Field Oriented Control (FOC) for a brushless DC (BLDC) motor. The control loop operates at 40 kHz PWM frequency with 3-phase complementary outputs and dead-time insertion. I require fast dual/triple ADC sampling synchronized with PWM cente... | btt_ebb42_v1_1 | STM32G0B1RET6 | Big Tree Tech | 147,456 | 131,072 |
pyintel_hw_cot_007867 | display_framebuffer_gui | I am building a handheld medical diagnostic device requiring a 320x240 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 246 KB of contiguous RAM without ca... | 1. **Mathematical Memory Budget Calculation**:
- **Display Dimensions**: 320 pixels width $\times$ 240 pixels height = 76,800 pixels.
- **Color Depth**: RGB565 = 16 bits = 2 bytes per pixel.
- **Single Framebuffer Size**: $320 \times 240 \times 2 = 153,600 \text{ bytes} = 150 \text{ KB}$.
- **LVGL UI Heap &... | ### Recommended Board: **EspinalLab ATMegaZero ESP32-S2**
| Constraint Parameter | Required Budget | Board Capability (`atmegazero_esp32s2`) |
| :--- | :--- | :--- |
| **Framebuffer Allocation** | 150 KB (320x240 @ 16-bpp RGB565) | Easily allocated in internal SRAM |
| **LVGL GUI Heap** | 64 KB | Supported with substa... | <start_of_turn>user
I am building a handheld medical diagnostic device requiring a 320x240 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 246 KB of conti... | atmegazero_esp32s2 | ESP32S2 | EspinalLab | 327,680 | 16,777,216 |
pyintel_hw_cot_007868 | display_framebuffer_gui | I am building a handheld medical diagnostic device requiring a 480x320 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 428 KB of contiguous RAM without ca... | 1. **Mathematical Memory Budget Calculation**:
- **Display Dimensions**: 480 pixels width $\times$ 320 pixels height = 153,600 pixels.
- **Color Depth**: RGB565 = 16 bits = 2 bytes per pixel.
- **Single Framebuffer Size**: $480 \times 320 \times 2 = 307,200 \text{ bytes} = 300 \text{ KB}$.
- **LVGL UI Heap ... | ### Recommended Board: **TTGO LoRa32-OLED V1**
| Constraint Parameter | Required Budget | Board Capability (`ttgo-lora32-v1`) |
| :--- | :--- | :--- |
| **Framebuffer Allocation** | 300 KB (480x320 @ 16-bpp RGB565) | Easily allocated in internal SRAM |
| **LVGL GUI Heap** | 96 KB | Supported with substantial overhead ... | <start_of_turn>user
I am building a handheld medical diagnostic device requiring a 480x320 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 428 KB of conti... | ttgo-lora32-v1 | ESP32 | TTGO | 327,680 | 4,194,304 |
pyintel_hw_cot_007869 | multi_bus_sensor_fusion | I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitting NMEA strings at 1... | 1. **Bus Contention & Channel Breakdown**:
- **SPI Channel 0**: Dedicated exclusively to high-rate IMU polling (1 kHz loop, 10 MHz SPI clock).
- **SPI Channel 1**: Dedicated to MicroSD / Flash logging (large blocking write blocks must NOT hold up the IMU bus).
- **I2C Channel**: Dedicated 400 kHz Fast-Mode for... | ### Recommended Board: **STM32F103RE (64k RAM. 512k Flash)**
| Bus Interface | Peripheral Channel | Assigned Sensor |
| :--- | :--- | :--- |
| **SPI Controller 0** | Dedicated Hardware SPI0 | High-Rate 6-Axis IMU (1 kHz sampling) |
| **SPI Controller 1** | Dedicated Hardware SPI1 | MicroSD Blackbox Logging (Isolated) ... | <start_of_turn>user
I am building an autonomous aerial vehicle telemetry hub. The board must interface simultaneously with:
1. A 6-axis IMU (MPU6050 / ICM-42688) polled at 1 kHz over high-speed SPI.
2. A barometric pressure sensor (BMP390) and I2C magnetometer polled over I2C at 400 kHz.
3. A GNSS/GPS module transmitti... | genericSTM32F103RE | STM32F103RET6 | Generic | 65,536 | 524,288 |
pyintel_hw_cot_007870 | battery_iot | I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 164 KB of unfragmented dynamic heap (accounting for RTOS kernel ~16 K... | 1. **Constraint Decomposition & Mathematical Budgets**:
- **Power Rail & Voltage**: 3.7V LiPo battery cell requires onboard 3.3V LDO regulator with low quiescent current. Logic level must be strictly 3.3V.
- **Network Stack**: Onboard 2.4 GHz WiFi or BLE transceiver is mandatory.
- **SRAM Sizing Formula**: Req... | ### Recommended Board: **April Brother ESPea32**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `espea32` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `ESP32` | Native dual-core/accelerated processing |
| **Operating Frequency** | 240 MHz | Sufficient throu... | <start_of_turn>user
I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 164 KB of unfragmented dynamic heap (accounting f... | espea32 | ESP32 | April Brother | 327,680 | 4,194,304 |
pyintel_hw_cot_007871 | display_framebuffer_gui | I am building a handheld medical diagnostic device requiring a 480x320 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 364 KB of contiguous RAM without ca... | 1. **Mathematical Memory Budget Calculation**:
- **Display Dimensions**: 480 pixels width $\times$ 320 pixels height = 153,600 pixels.
- **Color Depth**: RGB565 = 16 bits = 2 bytes per pixel.
- **Single Framebuffer Size**: $480 \times 320 \times 2 = 307,200 \text{ bytes} = 300 \text{ KB}$.
- **LVGL UI Heap ... | ### Recommended Board: **Deneyap Kart G**
| Constraint Parameter | Required Budget | Board Capability (`deneyapkartg`) |
| :--- | :--- | :--- |
| **Framebuffer Allocation** | 300 KB (480x320 @ 16-bpp RGB565) | Easily allocated in internal SRAM |
| **LVGL GUI Heap** | 32 KB | Supported with substantial overhead |
| **T... | <start_of_turn>user
I am building a handheld medical diagnostic device requiring a 480x320 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 364 KB of conti... | deneyapkartg | ESP32C3 | T3 Foundation | 327,680 | 4,194,304 |
pyintel_hw_cot_007872 | display_framebuffer_gui | I am building a handheld medical diagnostic device requiring a 240x240 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 240 KB of contiguous RAM without ca... | 1. **Mathematical Memory Budget Calculation**:
- **Display Dimensions**: 240 pixels width $\times$ 240 pixels height = 57,600 pixels.
- **Color Depth**: RGB565 = 16 bits = 2 bytes per pixel.
- **Single Framebuffer Size**: $240 \times 240 \times 2 = 115,200 \text{ bytes} = 112 \text{ KB}$.
- **LVGL UI Heap &... | ### Recommended Board: **WR3E Wi-Fi Module**
| Constraint Parameter | Required Budget | Board Capability (`wr3e`) |
| :--- | :--- | :--- |
| **Framebuffer Allocation** | 112 KB (240x240 @ 16-bpp RGB565) | Easily allocated in internal SRAM |
| **LVGL GUI Heap** | 96 KB | Supported with substantial overhead |
| **Total ... | <start_of_turn>user
I am building a handheld medical diagnostic device requiring a 240x240 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 240 KB of conti... | wr3e | RTL8710BN | Tuya Inc. | 262,144 | 806,912 |
pyintel_hw_cot_007873 | battery_iot | I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 112 KB of unfragmented dynamic heap (accounting for RTOS kernel ~24 K... | 1. **Constraint Decomposition & Mathematical Budgets**:
- **Power Rail & Voltage**: 3.7V LiPo battery cell requires onboard 3.3V LDO regulator with low quiescent current. Logic level must be strictly 3.3V.
- **Network Stack**: Onboard 2.4 GHz WiFi or BLE transceiver is mandatory.
- **SRAM Sizing Formula**: Req... | ### Recommended Board: **Blinker WiFiduinoV2 (ESP32-C3)**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `wifiduino32c3` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `ESP32C3` | Native dual-core/accelerated processing |
| **Operating Frequency** | 160 MHz |... | <start_of_turn>user
I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 112 KB of unfragmented dynamic heap (accounting f... | wifiduino32c3 | ESP32C3 | Blinker | 327,680 | 4,194,304 |
pyintel_hw_cot_007874 | display_framebuffer_gui | I am building a handheld medical diagnostic device requiring a 480x320 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 396 KB of contiguous RAM without ca... | 1. **Mathematical Memory Budget Calculation**:
- **Display Dimensions**: 480 pixels width $\times$ 320 pixels height = 153,600 pixels.
- **Color Depth**: RGB565 = 16 bits = 2 bytes per pixel.
- **Single Framebuffer Size**: $480 \times 320 \times 2 = 307,200 \text{ bytes} = 300 \text{ KB}$.
- **LVGL UI Heap ... | ### Recommended Board: **WEMOS LOLIN D32**
| Constraint Parameter | Required Budget | Board Capability (`lolin_d32`) |
| :--- | :--- | :--- |
| **Framebuffer Allocation** | 300 KB (480x320 @ 16-bpp RGB565) | Easily allocated in internal SRAM |
| **LVGL GUI Heap** | 64 KB | Supported with substantial overhead |
| **Tot... | <start_of_turn>user
I am building a handheld medical diagnostic device requiring a 480x320 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 396 KB of conti... | lolin_d32 | ESP32 | WEMOS | 327,680 | 4,194,304 |
pyintel_hw_cot_007875 | battery_iot | I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 124 KB of unfragmented dynamic heap (accounting for RTOS kernel ~24 K... | 1. **Constraint Decomposition & Mathematical Budgets**:
- **Power Rail & Voltage**: 3.7V LiPo battery cell requires onboard 3.3V LDO regulator with low quiescent current. Logic level must be strictly 3.3V.
- **Network Stack**: Onboard 2.4 GHz WiFi or BLE transceiver is mandatory.
- **SRAM Sizing Formula**: Req... | ### Recommended Board: **Trueverit ESP32 Universal IoT Driver**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `trueverit-iot-driver` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `ESP32` | Native dual-core/accelerated processing |
| **Operating Frequency** ... | <start_of_turn>user
I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 124 KB of unfragmented dynamic heap (accounting f... | trueverit-iot-driver | ESP32 | Trueverit | 327,680 | 4,194,304 |
pyintel_hw_cot_007876 | native_usb_emulation | I am designing a hardware USB HID Macro Keyboard & Mouse composite device. The device must plug directly into a host PC and enumerate natively without requiring an external USB-to-UART bridge IC (such as CH340 or CP2102). The microcontroller must have an integrated USB 2.0 Full-Speed PHY supporting programmable endpoin... | 1. **Constraint Breakdown**:
- **USB Silicon Architecture**: Must feature on-chip native USB 2.0 PHY with programmable DP/DM lines.
- **Driver Stack**: Must support raw USB endpoint configuration (TinyUSB or native USB device peripheral) for custom descriptor enumeration.
- **Protocol Rejection**: USB-UART bri... | ### Recommended Board: **Adafruit Feather ESP32-S2 Reverse TFT**
| Requirement | Specification | Verification |
| :--- | :--- | :--- |
| **Board ID** | `adafruit_feather_esp32s2_reversetft` | Registered entry in Open Board Registry |
| **Microcontroller** | `ESP32S2` | Direct native USB 2.0 FS silicon |
| **USB Stack*... | <start_of_turn>user
I am designing a hardware USB HID Macro Keyboard & Mouse composite device. The device must plug directly into a host PC and enumerate natively without requiring an external USB-to-UART bridge IC (such as CH340 or CP2102). The microcontroller must have an integrated USB 2.0 Full-Speed PHY supporting ... | adafruit_feather_esp32s2_reversetft | ESP32S2 | Adafruit | 327,680 | 4,194,304 |
pyintel_hw_cot_007877 | native_usb_emulation | I am designing a hardware USB HID Macro Keyboard & Mouse composite device. The device must plug directly into a host PC and enumerate natively without requiring an external USB-to-UART bridge IC (such as CH340 or CP2102). The microcontroller must have an integrated USB 2.0 Full-Speed PHY supporting programmable endpoin... | 1. **Constraint Breakdown**:
- **USB Silicon Architecture**: Must feature on-chip native USB 2.0 PHY with programmable DP/DM lines.
- **Driver Stack**: Must support raw USB endpoint configuration (TinyUSB or native USB device peripheral) for custom descriptor enumeration.
- **Protocol Rejection**: USB-UART bri... | ### Recommended Board: **MKS THR36**
| Requirement | Specification | Verification |
| :--- | :--- | :--- |
| **Board ID** | `mksthr36` | Registered entry in Open Board Registry |
| **Microcontroller** | `RP2040` | Direct native USB 2.0 FS silicon |
| **USB Stack** | TinyUSB / Native Driver | Custom HID/MIDI/CDC descri... | <start_of_turn>user
I am designing a hardware USB HID Macro Keyboard & Mouse composite device. The device must plug directly into a host PC and enumerate natively without requiring an external USB-to-UART bridge IC (such as CH340 or CP2102). The microcontroller must have an integrated USB 2.0 Full-Speed PHY supporting ... | mksthr36 | RP2040 | Makerbase | 262,144 | 1,048,576 |
pyintel_hw_cot_007878 | battery_iot | I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 164 KB of unfragmented dynamic heap (accounting for RTOS kernel ~24 K... | 1. **Constraint Decomposition & Mathematical Budgets**:
- **Power Rail & Voltage**: 3.7V LiPo battery cell requires onboard 3.3V LDO regulator with low quiescent current. Logic level must be strictly 3.3V.
- **Network Stack**: Onboard 2.4 GHz WiFi or BLE transceiver is mandatory.
- **SRAM Sizing Formula**: Req... | ### Recommended Board: **WEMOS LOLIN S2 Mini**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `lolin_s2_mini` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `ESP32S2` | Native dual-core/accelerated processing |
| **Operating Frequency** | 240 MHz | Sufficient... | <start_of_turn>user
I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 164 KB of unfragmented dynamic heap (accounting f... | lolin_s2_mini | ESP32S2 | WEMOS | 327,680 | 4,194,304 |
pyintel_hw_cot_007879 | display_framebuffer_gui | I am building a handheld medical diagnostic device requiring a 480x320 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 428 KB of contiguous RAM without ca... | 1. **Mathematical Memory Budget Calculation**:
- **Display Dimensions**: 480 pixels width $\times$ 320 pixels height = 153,600 pixels.
- **Color Depth**: RGB565 = 16 bits = 2 bytes per pixel.
- **Single Framebuffer Size**: $480 \times 320 \times 2 = 307,200 \text{ bytes} = 300 \text{ KB}$.
- **LVGL UI Heap ... | ### Recommended Board: **IDM2040-43A**
| Constraint Parameter | Required Budget | Board Capability (`bridgetek_idm2040_43a`) |
| :--- | :--- | :--- |
| **Framebuffer Allocation** | 300 KB (480x320 @ 16-bpp RGB565) | Easily allocated in internal SRAM |
| **LVGL GUI Heap** | 96 KB | Supported with substantial overhead |... | <start_of_turn>user
I am building a handheld medical diagnostic device requiring a 480x320 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 428 KB of conti... | bridgetek_idm2040_43a | RP2040 | BridgeTek | 262,144 | 8,388,608 |
pyintel_hw_cot_007880 | display_framebuffer_gui | I am building a handheld medical diagnostic device requiring a 320x240 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 278 KB of contiguous RAM without ca... | 1. **Mathematical Memory Budget Calculation**:
- **Display Dimensions**: 320 pixels width $\times$ 240 pixels height = 76,800 pixels.
- **Color Depth**: RGB565 = 16 bits = 2 bytes per pixel.
- **Single Framebuffer Size**: $320 \times 240 \times 2 = 153,600 \text{ bytes} = 150 \text{ KB}$.
- **LVGL UI Heap &... | ### Recommended Board: **WEMOS D1 MINI ESP32**
| Constraint Parameter | Required Budget | Board Capability (`wemos_d1_mini32`) |
| :--- | :--- | :--- |
| **Framebuffer Allocation** | 150 KB (320x240 @ 16-bpp RGB565) | Easily allocated in internal SRAM |
| **LVGL GUI Heap** | 96 KB | Supported with substantial overhead... | <start_of_turn>user
I am building a handheld medical diagnostic device requiring a 320x240 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 278 KB of conti... | wemos_d1_mini32 | ESP32 | WEMOS | 327,680 | 4,194,304 |
pyintel_hw_cot_007881 | robotics_foc_motion | I am building a precision robotic joint controller executing Field Oriented Control (FOC) for a brushless DC (BLDC) motor. The control loop operates at 20 kHz PWM frequency with 3-phase complementary outputs and dead-time insertion. I require fast dual/triple ADC sampling synchronized with PWM center-alignment to read ... | 1. **Timing & Math Budget**:
- **Loop Period**: At 20 kHz PWM, each control cycle is $T = 1 / 20\text{ kHz} = 50.0\,\mu\text{s}$.
- **Calculations per Cycle**: Clarke and Park transformations, PI current controllers, and Space Vector Modulation (SVM) require $\approx 800\text{--}1,500$ CPU cycles.
- **Clock Re... | ### Recommended Board: **Arduino Portenta H7 (M4 core)**
| Architectural Feature | Specification | Role in FOC Algorithm |
| :--- | :--- | :--- |
| **Board ID** | `portenta_h7_m4` | Verified Open Board Registry entry |
| **MCU Core** | `STM32H747XIH6` | High-speed real-time core with hardware math |
| **Core Clock** |... | <start_of_turn>user
I am building a precision robotic joint controller executing Field Oriented Control (FOC) for a brushless DC (BLDC) motor. The control loop operates at 20 kHz PWM frequency with 3-phase complementary outputs and dead-time insertion. I require fast dual/triple ADC sampling synchronized with PWM cente... | portenta_h7_m4 | STM32H747XIH6 | Arduino | 294,248 | 1,048,576 |
pyintel_hw_cot_007882 | battery_iot | I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 128 KB of unfragmented dynamic heap (accounting for RTOS kernel ~32 K... | 1. **Constraint Decomposition & Mathematical Budgets**:
- **Power Rail & Voltage**: 3.7V LiPo battery cell requires onboard 3.3V LDO regulator with low quiescent current. Logic level must be strictly 3.3V.
- **Network Stack**: Onboard 2.4 GHz WiFi or BLE transceiver is mandatory.
- **SRAM Sizing Formula**: Req... | ### Recommended Board: **M5Stack-Core Ink**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `m5stack-coreink` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `ESP32` | Native dual-core/accelerated processing |
| **Operating Frequency** | 240 MHz | Sufficient th... | <start_of_turn>user
I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 128 KB of unfragmented dynamic heap (accounting f... | m5stack-coreink | ESP32 | M5Stack | 327,680 | 4,194,304 |
pyintel_hw_cot_007883 | display_framebuffer_gui | I am building a handheld medical diagnostic device requiring a 240x240 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 176 KB of contiguous RAM without ca... | 1. **Mathematical Memory Budget Calculation**:
- **Display Dimensions**: 240 pixels width $\times$ 240 pixels height = 57,600 pixels.
- **Color Depth**: RGB565 = 16 bits = 2 bytes per pixel.
- **Single Framebuffer Size**: $240 \times 240 \times 2 = 115,200 \text{ bytes} = 112 \text{ KB}$.
- **LVGL UI Heap &... | ### Recommended Board: **Generic - RTL8720CM (4M/1712k)**
| Constraint Parameter | Required Budget | Board Capability (`generic-rtl8720cm-4mb-1712k`) |
| :--- | :--- | :--- |
| **Framebuffer Allocation** | 112 KB (240x240 @ 16-bpp RGB565) | Easily allocated in internal SRAM |
| **LVGL GUI Heap** | 32 KB | Supported wi... | <start_of_turn>user
I am building a handheld medical diagnostic device requiring a 240x240 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 176 KB of conti... | generic-rtl8720cm-4mb-1712k | RTL8720CM | Generic | 262,144 | 1,753,088 |
pyintel_hw_cot_007884 | edge_audio_dsp | I am building an embedded real-time audio analysis module capturing acoustic emissions via an I2S MEMS microphone. The firmware must compute continuous 512-point complex Fast Fourier Transforms (FFT) at 48.0 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support circular DMA I2S doub... | 1. **Mathematical DSP & Throughput Budget**:
- **Audio Throughput**: Sampling at 48.0 kHz 16-bit mono produces $48.0 \times 10^3 \times 2 \approx 96,000 \text{ bytes/sec}$.
- **FFT Window Duration**: A 512-point buffer represents $T_{window} = 512 / (48.0 \times 10^3) \approx 10.67 \text{ ms}$.
- **Processing ... | ### Recommended Board: **Quectel MC25 GSM Module**
| DSP Parameter | Value | Advantage |
| :--- | :--- | :--- |
| **Board ID** | `mc25` | Verified Open Board Registry entry |
| **Processor Core** | `RDA8955` | Hardware FPU & DSP SIMD extensions |
| **Clock Speed** | 178 MHz | FFT computes in $< 2 \text{ ms}$ (well bel... | <start_of_turn>user
I am building an embedded real-time audio analysis module capturing acoustic emissions via an I2S MEMS microphone. The firmware must compute continuous 512-point complex Fast Fourier Transforms (FFT) at 48.0 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support c... | mc25 | RDA8955 | Quectel Wireless Solutions Co., Ltd. | 1,040,384 | 589,824 |
pyintel_hw_cot_007885 | edge_audio_dsp | I am building an embedded real-time audio analysis module capturing acoustic emissions via an I2S MEMS microphone. The firmware must compute continuous 512-point complex Fast Fourier Transforms (FFT) at 48.0 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support circular DMA I2S doub... | 1. **Mathematical DSP & Throughput Budget**:
- **Audio Throughput**: Sampling at 48.0 kHz 16-bit mono produces $48.0 \times 10^3 \times 2 \approx 96,000 \text{ bytes/sec}$.
- **FFT Window Duration**: A 512-point buffer represents $T_{window} = 512 / (48.0 \times 10^3) \approx 10.67 \text{ ms}$.
- **Processing ... | ### Recommended Board: **Blues Cygnet**
| DSP Parameter | Value | Advantage |
| :--- | :--- | :--- |
| **Board ID** | `blues_cygnet` | Verified Open Board Registry entry |
| **Processor Core** | `STM32L433CCT6` | Hardware FPU & DSP SIMD extensions |
| **Clock Speed** | 80 MHz | FFT computes in $< 2 \text{ ms}$ (well b... | <start_of_turn>user
I am building an embedded real-time audio analysis module capturing acoustic emissions via an I2S MEMS microphone. The firmware must compute continuous 512-point complex Fast Fourier Transforms (FFT) at 48.0 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support c... | blues_cygnet | STM32L433CCT6 | Blues | 65,536 | 262,144 |
pyintel_hw_cot_007886 | display_framebuffer_gui | I am building a handheld medical diagnostic device requiring a 240x240 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 176 KB of contiguous RAM without ca... | 1. **Mathematical Memory Budget Calculation**:
- **Display Dimensions**: 240 pixels width $\times$ 240 pixels height = 57,600 pixels.
- **Color Depth**: RGB565 = 16 bits = 2 bytes per pixel.
- **Single Framebuffer Size**: $240 \times 240 \times 2 = 115,200 \text{ bytes} = 112 \text{ KB}$.
- **LVGL UI Heap &... | ### Recommended Board: **96Boards Neonkey**
| Constraint Parameter | Required Budget | Board Capability (`b96b_aerocore2`) |
| :--- | :--- | :--- |
| **Framebuffer Allocation** | 112 KB (240x240 @ 16-bpp RGB565) | Easily allocated in internal SRAM |
| **LVGL GUI Heap** | 32 KB | Supported with substantial overhead |
|... | <start_of_turn>user
I am building a handheld medical diagnostic device requiring a 240x240 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 176 KB of conti... | b96b_aerocore2 | STM32F427VIT6 | 96Boards | 262,144 | 2,091,752 |
pyintel_hw_cot_007887 | native_usb_emulation | I am designing a hardware USB HID Macro Keyboard & Mouse composite device. The device must plug directly into a host PC and enumerate natively without requiring an external USB-to-UART bridge IC (such as CH340 or CP2102). The microcontroller must have an integrated USB 2.0 Full-Speed PHY supporting programmable endpoin... | 1. **Constraint Breakdown**:
- **USB Silicon Architecture**: Must feature on-chip native USB 2.0 PHY with programmable DP/DM lines.
- **Driver Stack**: Must support raw USB endpoint configuration (TinyUSB or native USB device peripheral) for custom descriptor enumeration.
- **Protocol Rejection**: USB-UART bri... | ### Recommended Board: **TAMC Termod S3**
| Requirement | Specification | Verification |
| :--- | :--- | :--- |
| **Board ID** | `tamc_termod_s3` | Registered entry in Open Board Registry |
| **Microcontroller** | `ESP32S3` | Direct native USB 2.0 FS silicon |
| **USB Stack** | TinyUSB / Native Driver | Custom HID/MID... | <start_of_turn>user
I am designing a hardware USB HID Macro Keyboard & Mouse composite device. The device must plug directly into a host PC and enumerate natively without requiring an external USB-to-UART bridge IC (such as CH340 or CP2102). The microcontroller must have an integrated USB 2.0 Full-Speed PHY supporting ... | tamc_termod_s3 | ESP32S3 | TAMC | 327,680 | 8,388,608 |
pyintel_hw_cot_007888 | native_usb_emulation | I am designing a hardware USB HID Macro Keyboard & Mouse composite device. The device must plug directly into a host PC and enumerate natively without requiring an external USB-to-UART bridge IC (such as CH340 or CP2102). The microcontroller must have an integrated USB 2.0 Full-Speed PHY supporting programmable endpoin... | 1. **Constraint Breakdown**:
- **USB Silicon Architecture**: Must feature on-chip native USB 2.0 PHY with programmable DP/DM lines.
- **Driver Stack**: Must support raw USB endpoint configuration (TinyUSB or native USB device peripheral) for custom descriptor enumeration.
- **Protocol Rejection**: USB-UART bri... | ### Recommended Board: **Feather RP2350 Adalogger**
| Requirement | Specification | Verification |
| :--- | :--- | :--- |
| **Board ID** | `adafruit_feather_rp2350_adalogger` | Registered entry in Open Board Registry |
| **Microcontroller** | `RP2350` | Direct native USB 2.0 FS silicon |
| **USB Stack** | TinyUSB / Na... | <start_of_turn>user
I am designing a hardware USB HID Macro Keyboard & Mouse composite device. The device must plug directly into a host PC and enumerate natively without requiring an external USB-to-UART bridge IC (such as CH340 or CP2102). The microcontroller must have an integrated USB 2.0 Full-Speed PHY supporting ... | adafruit_feather_rp2350_adalogger | RP2350 | Adafruit | 524,288 | 8,388,608 |
pyintel_hw_cot_007889 | display_framebuffer_gui | I am building a handheld medical diagnostic device requiring a 480x320 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 428 KB of contiguous RAM without ca... | 1. **Mathematical Memory Budget Calculation**:
- **Display Dimensions**: 480 pixels width $\times$ 320 pixels height = 153,600 pixels.
- **Color Depth**: RGB565 = 16 bits = 2 bytes per pixel.
- **Single Framebuffer Size**: $480 \times 320 \times 2 = 307,200 \text{ bytes} = 300 \text{ KB}$.
- **LVGL UI Heap ... | ### Recommended Board: **Quectel EC600N LTE Cat.1 Module**
| Constraint Parameter | Required Budget | Board Capability (`ec600n`) |
| :--- | :--- | :--- |
| **Framebuffer Allocation** | 300 KB (480x320 @ 16-bpp RGB565) | Easily allocated in internal SRAM |
| **LVGL GUI Heap** | 96 KB | Supported with substantial overh... | <start_of_turn>user
I am building a handheld medical diagnostic device requiring a 480x320 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 428 KB of conti... | ec600n | ASR1603 | Quectel Wireless Solutions Co., Ltd. | 524,288 | 1,048,576 |
pyintel_hw_cot_007890 | automotive_industrial_can | We are engineering a sub-assembly node for an automotive chassis telemetry bus operating on a 24V rail. The module must communicate with the vehicle engine management system over CAN 2.0B / CAN-FD at 500 kbps. We require a board with hardware CAN controller support, sufficient interrupt handling capability for 1,000 fr... | 1. **Constraint Analysis**:
- **Bus Protocol**: Hardware CAN / CAN-FD peripheral is required. Bitrate target is 500 kbps with deterministic acceptance filtering.
- **Power Rail**: Automotive power bus exhibits high ripple and load-dump voltage transients (24V). Requires wide DC input step-down regulator or automo... | ### Recommended Board: **ST Nucleo L486RG**
| Parameter | Specification | Functional Advantage |
| :--- | :--- | :--- |
| **Registry ID** | `nucleo_l486rg` | Registered open-hardware entry |
| **MCU Architecture** | `STM32L486RGT6` | High-speed real-time core |
| **CAN Bus Interface** | can | Hardware frame filtration... | <start_of_turn>user
We are engineering a sub-assembly node for an automotive chassis telemetry bus operating on a 24V rail. The module must communicate with the vehicle engine management system over CAN 2.0B / CAN-FD at 500 kbps. We require a board with hardware CAN controller support, sufficient interrupt handling cap... | nucleo_l486rg | STM32L486RGT6 | ST | 131,072 | 1,048,576 |
pyintel_hw_cot_007891 | battery_iot | I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 172 KB of unfragmented dynamic heap (accounting for RTOS kernel ~16 K... | 1. **Constraint Decomposition & Mathematical Budgets**:
- **Power Rail & Voltage**: 3.7V LiPo battery cell requires onboard 3.3V LDO regulator with low quiescent current. Logic level must be strictly 3.3V.
- **Network Stack**: Onboard 2.4 GHz WiFi or BLE transceiver is mandatory.
- **SRAM Sizing Formula**: Req... | ### Recommended Board: **Adafruit MatrixPortal ESP32-S3**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `adafruit_matrixportal_esp32s3` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `ESP32S3` | Native dual-core/accelerated processing |
| **Operating Frequen... | <start_of_turn>user
I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 172 KB of unfragmented dynamic heap (accounting f... | adafruit_matrixportal_esp32s3 | ESP32S3 | Adafruit | 327,680 | 8,388,608 |
pyintel_hw_cot_007892 | native_usb_emulation | I am designing a hardware USB HID Macro Keyboard & Mouse composite device. The device must plug directly into a host PC and enumerate natively without requiring an external USB-to-UART bridge IC (such as CH340 or CP2102). The microcontroller must have an integrated USB 2.0 Full-Speed PHY supporting programmable endpoin... | 1. **Constraint Breakdown**:
- **USB Silicon Architecture**: Must feature on-chip native USB 2.0 PHY with programmable DP/DM lines.
- **Driver Stack**: Must support raw USB endpoint configuration (TinyUSB or native USB device peripheral) for custom descriptor enumeration.
- **Protocol Rejection**: USB-UART bri... | ### Recommended Board: **Arduino MKR GSM 1400**
| Requirement | Specification | Verification |
| :--- | :--- | :--- |
| **Board ID** | `mkrgsm1400` | Registered entry in Open Board Registry |
| **Microcontroller** | `SAMD21G18A` | Direct native USB 2.0 FS silicon |
| **USB Stack** | TinyUSB / Native Driver | Custom HI... | <start_of_turn>user
I am designing a hardware USB HID Macro Keyboard & Mouse composite device. The device must plug directly into a host PC and enumerate natively without requiring an external USB-to-UART bridge IC (such as CH340 or CP2102). The microcontroller must have an integrated USB 2.0 Full-Speed PHY supporting ... | mkrgsm1400 | SAMD21G18A | Arduino | 32,768 | 262,144 |
pyintel_hw_cot_007893 | battery_iot | I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 156 KB of unfragmented dynamic heap (accounting for RTOS kernel ~32 K... | 1. **Constraint Decomposition & Mathematical Budgets**:
- **Power Rail & Voltage**: 3.7V LiPo battery cell requires onboard 3.3V LDO regulator with low quiescent current. Logic level must be strictly 3.3V.
- **Network Stack**: Onboard 2.4 GHz WiFi or BLE transceiver is mandatory.
- **SRAM Sizing Formula**: Req... | ### Recommended Board: **Adafruit Metro ESP32-S3**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `adafruit_metro_esp32s3` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `ESP32S3` | Native dual-core/accelerated processing |
| **Operating Frequency** | 240 MHz... | <start_of_turn>user
I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 156 KB of unfragmented dynamic heap (accounting f... | adafruit_metro_esp32s3 | ESP32S3 | Adafruit | 327,680 | 16,777,216 |
pyintel_hw_cot_007894 | battery_iot | I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 164 KB of unfragmented dynamic heap (accounting for RTOS kernel ~24 K... | 1. **Constraint Decomposition & Mathematical Budgets**:
- **Power Rail & Voltage**: 3.7V LiPo battery cell requires onboard 3.3V LDO regulator with low quiescent current. Logic level must be strictly 3.3V.
- **Network Stack**: Onboard 2.4 GHz WiFi or BLE transceiver is mandatory.
- **SRAM Sizing Formula**: Req... | ### Recommended Board: **Ai-Thinker NodeMCU-32S2 (ESP-12K)**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `nodemcu-32s2` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `ESP32S2` | Native dual-core/accelerated processing |
| **Operating Frequency** | 240 MHz... | <start_of_turn>user
I am designing an edge IoT environmental telemetry node powered by a 3.7V LiPo battery. The device must connect to cloud infrastructure over TLS 1.3 (MQTT over secure sockets) using onboard WiFi or BLE. The application runs an RTOS requiring at least 164 KB of unfragmented dynamic heap (accounting f... | nodemcu-32s2 | ESP32S2 | Ai-Thinker | 327,680 | 4,194,304 |
pyintel_hw_cot_007895 | edge_audio_dsp | I am building an embedded real-time audio analysis module capturing acoustic emissions via an I2S MEMS microphone. The firmware must compute continuous 2048-point complex Fast Fourier Transforms (FFT) at 96.0 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support circular DMA I2S dou... | 1. **Mathematical DSP & Throughput Budget**:
- **Audio Throughput**: Sampling at 96.0 kHz 16-bit mono produces $96.0 \times 10^3 \times 2 \approx 192,000 \text{ bytes/sec}$.
- **FFT Window Duration**: A 2048-point buffer represents $T_{window} = 2048 / (96.0 \times 10^3) \approx 21.33 \text{ ms}$.
- **Processi... | ### Recommended Board: **Arduino Portenta H7 (M4 core)**
| DSP Parameter | Value | Advantage |
| :--- | :--- | :--- |
| **Board ID** | `portenta_h7_m4` | Verified Open Board Registry entry |
| **Processor Core** | `STM32H747XIH6` | Hardware FPU & DSP SIMD extensions |
| **Clock Speed** | 480 MHz | FFT computes in $< 2... | <start_of_turn>user
I am building an embedded real-time audio analysis module capturing acoustic emissions via an I2S MEMS microphone. The firmware must compute continuous 2048-point complex Fast Fourier Transforms (FFT) at 96.0 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support ... | portenta_h7_m4 | STM32H747XIH6 | Arduino | 294,248 | 1,048,576 |
pyintel_hw_cot_007896 | robotics_foc_motion | I am building a precision robotic joint controller executing Field Oriented Control (FOC) for a brushless DC (BLDC) motor. The control loop operates at 20 kHz PWM frequency with 3-phase complementary outputs and dead-time insertion. I require fast dual/triple ADC sampling synchronized with PWM center-alignment to read ... | 1. **Timing & Math Budget**:
- **Loop Period**: At 20 kHz PWM, each control cycle is $T = 1 / 20\text{ kHz} = 50.0\,\mu\text{s}$.
- **Calculations per Cycle**: Clarke and Park transformations, PI current controllers, and Space Vector Modulation (SVM) require $\approx 800\text{--}1,500$ CPU cycles.
- **Clock Re... | ### Recommended Board: **LilyGo T3-STM32**
| Architectural Feature | Specification | Role in FOC Algorithm |
| :--- | :--- | :--- |
| **Board ID** | `lilygo_t3_stm32_v1` | Verified Open Board Registry entry |
| **MCU Core** | `STM32WLE5CCU7` | High-speed real-time core with hardware math |
| **Core Clock** | 48 MHz | ... | <start_of_turn>user
I am building a precision robotic joint controller executing Field Oriented Control (FOC) for a brushless DC (BLDC) motor. The control loop operates at 20 kHz PWM frequency with 3-phase complementary outputs and dead-time insertion. I require fast dual/triple ADC sampling synchronized with PWM cente... | lilygo_t3_stm32_v1 | STM32WLE5CCU7 | LilyGo | 65,536 | 262,144 |
pyintel_hw_cot_007897 | native_usb_emulation | I am designing a hardware USB MIDI controller with low-jitter serial streaming. The device must plug directly into a host PC and enumerate natively without requiring an external USB-to-UART bridge IC (such as CH340 or CP2102). The microcontroller must have an integrated USB 2.0 Full-Speed PHY supporting programmable en... | 1. **Constraint Breakdown**:
- **USB Silicon Architecture**: Must feature on-chip native USB 2.0 PHY with programmable DP/DM lines.
- **Driver Stack**: Must support raw USB endpoint configuration (TinyUSB or native USB device peripheral) for custom descriptor enumeration.
- **Protocol Rejection**: USB-UART bri... | ### Recommended Board: **FlyBoard2040Core**
| Requirement | Specification | Verification |
| :--- | :--- | :--- |
| **Board ID** | `flyboard2040_core` | Registered entry in Open Board Registry |
| **Microcontroller** | `RP2040` | Direct native USB 2.0 FS silicon |
| **USB Stack** | TinyUSB / Native Driver | Custom HID... | <start_of_turn>user
I am designing a hardware USB MIDI controller with low-jitter serial streaming. The device must plug directly into a host PC and enumerate natively without requiring an external USB-to-UART bridge IC (such as CH340 or CP2102). The microcontroller must have an integrated USB 2.0 Full-Speed PHY suppor... | flyboard2040_core | RP2040 | DeRuiLab | 262,144 | 4,194,304 |
pyintel_hw_cot_007898 | robotics_foc_motion | I am building a precision robotic joint controller executing Field Oriented Control (FOC) for a brushless DC (BLDC) motor. The control loop operates at 20 kHz PWM frequency with 3-phase complementary outputs and dead-time insertion. I require fast dual/triple ADC sampling synchronized with PWM center-alignment to read ... | 1. **Timing & Math Budget**:
- **Loop Period**: At 20 kHz PWM, each control cycle is $T = 1 / 20\text{ kHz} = 50.0\,\mu\text{s}$.
- **Calculations per Cycle**: Clarke and Park transformations, PI current controllers, and Space Vector Modulation (SVM) require $\approx 800\text{--}1,500$ CPU cycles.
- **Clock Re... | ### Recommended Board: **Metro RP2040**
| Architectural Feature | Specification | Role in FOC Algorithm |
| :--- | :--- | :--- |
| **Board ID** | `adafruit_metro` | Verified Open Board Registry entry |
| **MCU Core** | `RP2040` | High-speed real-time core with hardware math |
| **Core Clock** | 133 MHz | Completes FOC... | <start_of_turn>user
I am building a precision robotic joint controller executing Field Oriented Control (FOC) for a brushless DC (BLDC) motor. The control loop operates at 20 kHz PWM frequency with 3-phase complementary outputs and dead-time insertion. I require fast dual/triple ADC sampling synchronized with PWM cente... | adafruit_metro | RP2040 | Adafruit | 262,144 | 16,777,216 |
pyintel_hw_cot_007899 | display_framebuffer_gui | I am building a handheld medical diagnostic device requiring a 320x240 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 214 KB of contiguous RAM without ca... | 1. **Mathematical Memory Budget Calculation**:
- **Display Dimensions**: 320 pixels width $\times$ 240 pixels height = 76,800 pixels.
- **Color Depth**: RGB565 = 16 bits = 2 bytes per pixel.
- **Single Framebuffer Size**: $320 \times 240 \times 2 = 153,600 \text{ bytes} = 150 \text{ KB}$.
- **LVGL UI Heap &... | ### Recommended Board: **Fibocom L610 LTE Cat.1 Module**
| Constraint Parameter | Required Budget | Board Capability (`l610`) |
| :--- | :--- | :--- |
| **Framebuffer Allocation** | 150 KB (320x240 @ 16-bpp RGB565) | Easily allocated in internal SRAM |
| **LVGL GUI Heap** | 32 KB | Supported with substantial overhead ... | <start_of_turn>user
I am building a handheld medical diagnostic device requiring a 320x240 color TFT display running in 16-bit RGB565 color format with the LVGL graphics library. The application requires full single-buffer rendering (or partial dual-buffering) and dynamic GUI widgets, demanding at least 214 KB of conti... | l610 | RDA8910 | Fibocom Wireless Inc. | 524,288 | 1,048,576 |
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