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_000100 | 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: **Generic - BK7231T (Tuya)**
| Constraint Parameter | Required Budget | Board Capability (`generic-bk7231t-qfn32-tuya`) |
| :--- | :--- | :--- |
| **Framebuffer Allocation** | 112 KB (240x240 @ 16-bpp RGB565) | Easily allocated in internal SRAM |
| **LVGL GUI Heap** | 96 KB | Supported with subs... | <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... | generic-bk7231t-qfn32-tuya | BK7231T | Generic | 262,144 | 1,083,136 |
pyintel_hw_cot_000101 | 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 L432KC**
| Architectural Feature | Specification | Role in FOC Algorithm |
| :--- | :--- | :--- |
| **Board ID** | `nucleo_l432kc` | Verified Open Board Registry entry |
| **MCU Core** | `STM32L432KCU6` | 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_l432kc | STM32L432KCU6 | ST | 65,536 | 262,144 |
pyintel_hw_cot_000102 | 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: **ST B-U585I-IOT02A Discovery**
| 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... | disco_b_u585i_iot02a | STM32U585AII6Q | ST | 262,144 | 2,097,152 |
pyintel_hw_cot_000103 | 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 ~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 FunHouse**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `adafruit_funhouse_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 124 KB of unfragmented dynamic heap (accounting f... | adafruit_funhouse_esp32s2 | ESP32S2 | Adafruit | 327,680 | 4,194,304 |
pyintel_hw_cot_000104 | 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: **Electronic SweetPeas ESP320**
| Constraint Parameter | Required Budget | Board Capability (`esp320`) |
| :--- | :--- | :--- |
| **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... | esp320 | ESP32 | Electronic SweetPeas | 327,680 | 4,194,304 |
pyintel_hw_cot_000105 | 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 ~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: **TAMC Termod S3**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `tamc_termod_s3` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `ESP32S3` | Native dual-core/accelerated processing |
| **Operating Frequency** | 240 MHz | Sufficient thr... | <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... | tamc_termod_s3 | ESP32S3 | TAMC | 327,680 | 8,388,608 |
pyintel_hw_cot_000106 | 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 ~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: **Microsoft Azure IoT Development Kit (MXChip AZ3166)**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `mxchip_az3166` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `STM32F412ZGT6` | Native dual-core/accelerated processing |
| **Operat... | <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... | mxchip_az3166 | STM32F412ZGT6 | MXChip | 262,144 | 1,048,576 |
pyintel_hw_cot_000107 | 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 STM32L4+ Discovery kit IoT node**
| Architectural Feature | Specification | Role in FOC Algorithm |
| :--- | :--- | :--- |
| **Board ID** | `disco_l4s5i_iot01a` | Verified Open Board Registry entry |
| **MCU Core** | `STM32L4S5VIT6` | High-speed real-time core with hardware math |
| **Core ... | <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... | disco_l4s5i_iot01a | STM32L4S5VIT6 | ST | 655,360 | 2,097,152 |
pyintel_hw_cot_000108 | 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 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 (24V). Requires wide DC input step-down regulator or autom... | ### Recommended Board: **DOIT ESPduino32**
| Parameter | Specification | Functional Advantage |
| :--- | :--- | :--- |
| **Registry ID** | `esp32doit-espduino` | Registered open-hardware entry |
| **MCU Architecture** | `ESP32` | High-speed real-time core |
| **CAN Bus Interface** | wifi, bluetooth, ethernet, can | Ha... | <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 1000 kbps. We require a board with hardware CAN controller support, sufficient interrupt handling ca... | esp32doit-espduino | ESP32 | DOIT | 327,680 | 4,194,304 |
pyintel_hw_cot_000109 | 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: **PGA2350**
| Constraint Parameter | Required Budget | Board Capability (`pimoroni_pga2350`) |
| :--- | :--- | :--- |
| **Framebuffer Allocation** | 112 KB (240x240 @ 16-bpp RGB565) | Easily allocated in internal SRAM |
| **LVGL GUI Heap** | 96 KB | Supported with substantial overhead |
| **Tota... | <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... | pimoroni_pga2350 | RP2350 | Pimoroni | 524,288 | 16,777,216 |
pyintel_hw_cot_000110 | 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_000111 | 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: **RP2040 DevKit**
| Constraint Parameter | Required Budget | Board Capability (`upesy_rp2040_devkit`) |
| :--- | :--- | :--- |
| **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... | upesy_rp2040_devkit | RP2040 | uPesy | 262,144 | 2,097,152 |
pyintel_hw_cot_000112 | 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 ~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: **WBR3 Wi-Fi Module**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `wbr3` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `RTL8720CF` | Native dual-core/accelerated processing |
| **Operating Frequency** | 100 MHz | Sufficient throughp... | <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... | wbr3 | RTL8720CF | Tuya Inc. | 262,144 | 917,504 |
pyintel_hw_cot_000113 | 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: **STM32-H407**
| Architectural Feature | Specification | Role in FOC Algorithm |
| :--- | :--- | :--- |
| **Board ID** | `olimex_h407` | Verified Open Board Registry entry |
| **MCU Core** | `STM32F407ZGT6` | High-speed real-time core with hardware math |
| **Core Clock** | 168 MHz | Completes F... | <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... | olimex_h407 | STM32F407ZGT6 | Olimex | 131,072 | 1,048,576 |
pyintel_hw_cot_000114 | 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: **Adafruit Feather STM32F405**
| Architectural Feature | Specification | Role in FOC Algorithm |
| :--- | :--- | :--- |
| **Board ID** | `adafruit_feather_f405` | Verified Open Board Registry entry |
| **MCU Core** | `STM32F405RGT6` | 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 40 kHz PWM frequency with 3-phase complementary outputs and dead-time insertion. I require fast dual/triple ADC sampling synchronized with PWM cente... | adafruit_feather_f405 | STM32F405RGT6 | Adafruit | 131,072 | 1,048,576 |
pyintel_hw_cot_000115 | 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: **ProMicro RP2040**
| Architectural Feature | Specification | Role in FOC Algorithm |
| :--- | :--- | :--- |
| **Board ID** | `sparkfun_promicrorp2040` | Verified Open Board Registry entry |
| **MCU Core** | `RP2040` | High-speed real-time core with hardware math |
| **Core Clock** | 133 MHz | 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 20 kHz PWM frequency with 3-phase complementary outputs and dead-time insertion. I require fast dual/triple ADC sampling synchronized with PWM cente... | sparkfun_promicrorp2040 | RP2040 | SparkFun | 262,144 | 16,777,216 |
pyintel_hw_cot_000116 | 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 2000 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 2000 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: **VintLabs ESP32 Devkit**
| Parameter | Specification | Functional Advantage |
| :--- | :--- | :--- |
| **Registry ID** | `vintlabs-devkit-v1` | Registered open-hardware entry |
| **MCU Architecture** | `ESP32` | High-speed real-time core |
| **CAN Bus Interface** | wifi, bluetooth, ethernet, ca... | <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 2000 kbps. We require a board with hardware CAN controller support, sufficient inte... | vintlabs-devkit-v1 | ESP32 | VintLabs | 327,680 | 4,194,304 |
pyintel_hw_cot_000117 | 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 ~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: **MH ET LIVE ESP32MiniKit**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `mhetesp32minikit` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `ESP32` | Native dual-core/accelerated processing |
| **Operating Frequency** | 240 MHz | Suffi... | <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... | mhetesp32minikit | ESP32 | MH-ET Live | 327,680 | 4,194,304 |
pyintel_hw_cot_000118 | 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: **STM32F423RH (320k RAM. 1536k Flash)**
| Architectural Feature | Specification | Role in FOC Algorithm |
| :--- | :--- | :--- |
| **Board ID** | `genericSTM32F423RH` | Verified Open Board Registry entry |
| **MCU Core** | `STM32F423RHT6` | High-speed real-time core with hardware math |
| **Core... | <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... | genericSTM32F423RH | STM32F423RHT6 | Generic | 327,680 | 1,572,864 |
pyintel_hw_cot_000119 | 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 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 1024-point buffer represents $T_{window} = 1024 / (44.1 \times 10^3) \approx 23.22 \text{ ms}$.
- **Processin... | ### Recommended Board: **Digilent OpenScope**
| DSP Parameter | Value | Advantage |
| :--- | :--- | :--- |
| **Board ID** | `openscope` | Verified Open Board Registry entry |
| **Processor Core** | `32MZ2048EFG124` | Hardware FPU & DSP SIMD extensions |
| **Clock Speed** | 200 MHz | FFT computes in $< 2 \text{ ms}$ (w... | <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 44.1 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support ... | openscope | 32MZ2048EFG124 | Digilent | 524,288 | 2,080,768 |
pyintel_hw_cot_000120 | 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: **Arduino MKRZERO**
| Requirement | Specification | Verification |
| :--- | :--- | :--- |
| **Board ID** | `mkrzero` | Registered entry in Open Board Registry |
| **Microcontroller** | `SAMD21G18A` | Direct native USB 2.0 FS silicon |
| **USB Stack** | TinyUSB / Native Driver | Custom HID/MIDI/C... | <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... | mkrzero | SAMD21G18A | Arduino | 32,768 | 262,144 |
pyintel_hw_cot_000121 | 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 F334R8**
| Parameter | Specification | Functional Advantage |
| :--- | :--- | :--- |
| **Registry ID** | `nucleo_f334r8` | Registered open-hardware entry |
| **MCU Architecture** | `STM32F334R8T6` | 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 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_f334r8 | STM32F334R8T6 | ST | 16,384 | 65,536 |
pyintel_hw_cot_000122 | 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 32F413HDISCOVERY**
| Parameter | Specification | Functional Advantage |
| :--- | :--- | :--- |
| **Registry ID** | `disco_f413zh` | Registered open-hardware entry |
| **MCU Architecture** | `STM32F413ZHT6` | 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_f413zh | STM32F413ZHT6 | ST | 327,680 | 1,572,864 |
pyintel_hw_cot_000123 | 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 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 1024-point buffer represents $T_{window} = 1024 / (96.0 \times 10^3) \approx 10.67 \text{ ms}$.
- **Processi... | ### Recommended Board: **RP2040 LCD 1.28**
| DSP Parameter | Value | Advantage |
| :--- | :--- | :--- |
| **Board ID** | `waveshare_rp2040_lcd_1_28` | 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 96.0 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support ... | waveshare_rp2040_lcd_1_28 | RP2040 | Waveshare | 262,144 | 2,097,152 |
pyintel_hw_cot_000124 | 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: **CB1S 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... | cb1s | BK7231N | Tuya Inc. | 262,144 | 1,083,136 |
pyintel_hw_cot_000125 | 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 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 (24V). Requires wide DC input step-down regulator or autom... | ### Recommended Board: **Adafruit QT Py ESP32**
| Parameter | Specification | Functional Advantage |
| :--- | :--- | :--- |
| **Registry ID** | `adafruit_qtpy_esp32` | Registered open-hardware entry |
| **MCU Architecture** | `ESP32` | High-speed real-time core |
| **CAN Bus Interface** | wifi, bluetooth, ethernet, ca... | <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 1000 kbps. We require a board with hardware CAN controller support, sufficient interrupt handling ca... | adafruit_qtpy_esp32 | ESP32 | Adafruit | 327,680 | 8,388,608 |
pyintel_hw_cot_000126 | 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: **Jumperless V5**
| Constraint Parameter | Required Budget | Board Capability (`jumperless_v5`) |
| :--- | :--- | :--- |
| **Framebuffer Allocation** | 112 KB (240x240 @ 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 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... | jumperless_v5 | RP2350 | Architeuthis Flux | 524,288 | 16,777,216 |
pyintel_hw_cot_000127 | 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: **PicoPlus2**
| 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... | pimoroni_pico_plus_2 | RP2350 | Pimoroni | 524,288 | 16,777,216 |
pyintel_hw_cot_000128 | 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: **RP2040 LoRa**
| Requirement | Specification | Verification |
| :--- | :--- | :--- |
| **Board ID** | `waveshare_rp2040_lora` | 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... | waveshare_rp2040_lora | RP2040 | Waveshare | 262,144 | 2,097,152 |
pyintel_hw_cot_000129 | 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: **RP2040 Plus 16MB**
| Architectural Feature | Specification | Role in FOC Algorithm |
| :--- | :--- | :--- |
| **Board ID** | `waveshare_rp2040_plus_16mb` | Verified Open Board Registry entry |
| **MCU Core** | `RP2040` | High-speed real-time core with hardware math |
| **Core Clock** | 133 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... | waveshare_rp2040_plus_16mb | RP2040 | Waveshare | 262,144 | 16,777,216 |
pyintel_hw_cot_000130 | 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: **ST Nucleo L152RE**
| DSP Parameter | Value | Advantage |
| :--- | :--- | :--- |
| **Board ID** | `nucleo_l152re` | Verified Open Board Registry entry |
| **Processor Core** | `STM32L152RET6` | Hardware FPU & DSP SIMD extensions |
| **Clock Speed** | 32 MHz | FFT computes in $< 2 \text{ ms}$ (w... | <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 ... | nucleo_l152re | STM32L152RET6 | ST | 81,920 | 524,288 |
pyintel_hw_cot_000131 | 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 ~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: **WB1S Wi-Fi Module**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `wb1s` | 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 116 KB of unfragmented dynamic heap (accounting f... | wb1s | BK7231T | Tuya Inc. | 262,144 | 1,083,136 |
pyintel_hw_cot_000132 | 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: **ST 32F746GDISCOVERY**
| Architectural Feature | Specification | Role in FOC Algorithm |
| :--- | :--- | :--- |
| **Board ID** | `disco_f746ng` | Verified Open Board Registry entry |
| **MCU Core** | `STM32F746NGH6` | High-speed real-time core with hardware math |
| **Core Clock** | 216 MHz | 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 25 kHz PWM frequency with 3-phase complementary outputs and dead-time insertion. I require fast dual/triple ADC sampling synchronized with PWM cente... | disco_f746ng | STM32F746NGH6 | ST | 327,680 | 1,048,576 |
pyintel_hw_cot_000133 | 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: **ST Nucleo L152RE**
| 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 Control... | <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... | nucleo_l152re | STM32L152RET6 | ST | 81,920 | 524,288 |
pyintel_hw_cot_000134 | 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 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 (24V). Requires wide DC input step-down regulator or autom... | ### Recommended Board: **PYBStick Standard 26**
| Parameter | Specification | Functional Advantage |
| :--- | :--- | :--- |
| **Registry ID** | `pybstick26_std` | Registered open-hardware entry |
| **MCU Architecture** | `STM32F411CEU6` | High-speed real-time core |
| **CAN Bus Interface** | can | Hardware frame filtr... | <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 1000 kbps. We require a board with hardware CAN controller support, sufficient interrupt handling ca... | pybstick26_std | STM32F411CEU6 | PYBStick | 131,072 | 524,288 |
pyintel_hw_cot_000135 | 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: **STM32F401CC (64k RAM. 256k Flash)**
| Architectural Feature | Specification | Role in FOC Algorithm |
| :--- | :--- | :--- |
| **Board ID** | `genericSTM32F401CC` | Verified Open Board Registry entry |
| **MCU Core** | `STM32F401CCU6` | 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... | genericSTM32F401CC | STM32F401CCU6 | Generic | 65,536 | 262,144 |
pyintel_hw_cot_000136 | 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: **LSC LMA35 BK7231T**
| Constraint Parameter | Required Budget | Board Capability (`lsc-lma35-t`) |
| :--- | :--- | :--- |
| **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... | lsc-lma35-t | BK7231T | Unknown | 262,144 | 1,083,136 |
pyintel_hw_cot_000137 | 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: **MH ET LIVE ESP32MiniKit**
| Parameter | Specification | Functional Advantage |
| :--- | :--- | :--- |
| **Registry ID** | `mhetesp32minikit` | Registered open-hardware entry |
| **MCU Architecture** | `ESP32` | High-speed real-time core |
| **CAN Bus Interface** | wifi, bluetooth, ethernet, ca... | <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... | mhetesp32minikit | ESP32 | MH-ET Live | 327,680 | 4,194,304 |
pyintel_hw_cot_000138 | 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 ~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: **Namino Arancio**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `namino_arancio` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `ESP32S3` | Native dual-core/accelerated processing |
| **Operating Frequency** | 240 MHz | Sufficient thr... | <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... | namino_arancio | ESP32S3 | MECT SRL | 327,680 | 4,194,304 |
pyintel_hw_cot_000139 | 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 ~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: **Lion:Bit Dev Board**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `lionbit` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `ESP32` | Native dual-core/accelerated processing |
| **Operating Frequency** | 240 MHz | Sufficient throughp... | <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... | lionbit | ESP32 | Lion:Bit | 327,680 | 4,194,304 |
pyintel_hw_cot_000140 | 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: **ST Nucleo L496ZG-P**
| DSP Parameter | Value | Advantage |
| :--- | :--- | :--- |
| **Board ID** | `nucleo_l496zg_p` | Verified Open Board Registry entry |
| **Processor Core** | `STM32L496ZGT6P` | Hardware FPU & DSP SIMD extensions |
| **Clock Speed** | 80 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 48.0 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support ... | nucleo_l496zg_p | STM32L496ZGT6P | ST | 327,680 | 1,048,576 |
pyintel_hw_cot_000141 | 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: **Armstrap Eagle 2048**
| 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... | armstrap_eagle2048 | STM32F427VIT6 | Armstrap | 262,144 | 2,091,752 |
pyintel_hw_cot_000142 | 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: **Denky32 (WROOM32)**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `denky32` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `ESP32` | Native dual-core/accelerated processing |
| **Operating Frequency** | 240 MHz | Sufficient throughpu... | <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... | denky32 | ESP32 | Denky | 327,680 | 4,194,304 |
pyintel_hw_cot_000143 | 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: **Armstrap Eagle 2048**
| Architectural Feature | Specification | Role in FOC Algorithm |
| :--- | :--- | :--- |
| **Board ID** | `armstrap_eagle2048` | Verified Open Board Registry entry |
| **MCU Core** | `STM32F427VIT6` | High-speed real-time core with hardware math |
| **Core Clock** | 168 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... | armstrap_eagle2048 | STM32F427VIT6 | Armstrap | 262,144 | 2,091,752 |
pyintel_hw_cot_000144 | 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: **S.ODI Ultra v1**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `s_odi_ultra` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `ESP32` | Native dual-core/accelerated processing |
| **Operating Frequency** | 240 MHz | Sufficient throughp... | <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... | s_odi_ultra | ESP32 | S.ODI | 327,680 | 4,194,304 |
pyintel_hw_cot_000145 | 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: **L476DMW1K**
| DSP Parameter | Value | Advantage |
| :--- | :--- | :--- |
| **Board ID** | `rhombio_l476dmw1k` | Verified Open Board Registry entry |
| **Processor Core** | `STM32L476VGT6` | Hardware FPU & DSP SIMD extensions |
| **Clock Speed** | 80 MHz | FFT computes in $< 2 \text{ ms}$ (well... | <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 ... | rhombio_l476dmw1k | STM32L476VGT6 | rhomb.io | 131,072 | 1,048,576 |
pyintel_hw_cot_000146 | 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: **Plasma2350**
| Constraint Parameter | Required Budget | Board Capability (`pimoroni_plasma2350`) |
| :--- | :--- | :--- |
| **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... | pimoroni_plasma2350 | RP2350 | Pimoroni | 524,288 | 2,097,152 |
pyintel_hw_cot_000147 | 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: **RP2040-Eins**
| Constraint Parameter | Required Budget | Board Capability (`redscorp_rp2040_eins`) |
| :--- | :--- | :--- |
| **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... | redscorp_rp2040_eins | RP2040 | redscorp | 262,144 | 16,777,216 |
pyintel_hw_cot_000148 | 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: **ArtronShop IOXESP32**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `ioxesp32` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `ESP32` | Native dual-core/accelerated processing |
| **Operating Frequency** | 240 MHz | Sufficient throug... | <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... | ioxesp32 | ESP32 | ArtronShop | 327,680 | 4,194,304 |
pyintel_hw_cot_000149 | 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: **96Boards B96B-F446VE**
| Architectural Feature | Specification | Role in FOC Algorithm |
| :--- | :--- | :--- |
| **Board ID** | `b96b_f446ve` | Verified Open Board Registry entry |
| **MCU Core** | `STM32F446VET6` | High-speed real-time core with hardware math |
| **Core Clock** | 168 MHz | 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 20 kHz PWM frequency with 3-phase complementary outputs and dead-time insertion. I require fast dual/triple ADC sampling synchronized with PWM cente... | b96b_f446ve | STM32F446VET6 | 96Boards | 131,072 | 524,288 |
pyintel_hw_cot_000150 | 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 160 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: **T1-M Wi-Fi Module**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `t1-m` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `BK7238` | 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 160 KB of unfragmented dynamic heap (accounting f... | t1-m | BK7238 | Tuya Inc. | 262,144 | 1,083,136 |
pyintel_hw_cot_000151 | 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: **Generic - RTL8710BX (4M/980k)**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `generic-rtl8710bx-4mb-980k` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `RTL8710BX` | 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... | generic-rtl8710bx-4mb-980k | RTL8710BX | Generic | 262,144 | 1,003,520 |
pyintel_hw_cot_000152 | 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: **SparkFun MicroMod Teensy**
| DSP Parameter | Value | Advantage |
| :--- | :--- | :--- |
| **Board ID** | `teensymm` | Verified Open Board Registry entry |
| **Processor Core** | `IMXRT1062` | Hardware FPU & DSP SIMD extensions |
| **Clock Speed** | 600 MHz | FFT computes in $< 2 \text{ ms}$ (w... | <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 ... | teensymm | IMXRT1062 | SparkFun | 524,288 | 8,126,464 |
pyintel_hw_cot_000153 | 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: **Quectel EC200U LTE Cat.1 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) |
... | <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... | ec200u | RDA8910 | Quectel Wireless Solutions Co., Ltd. | 524,288 | 1,048,576 |
pyintel_hw_cot_000154 | 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: **Pico2BB48**
| 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... | olimex_pico2bb48 | RP2350 | Olimex | 524,288 | 16,777,216 |
pyintel_hw_cot_000155 | 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: **IDM2040-43A**
| Requirement | Specification | Verification |
| :--- | :--- | :--- |
| **Board ID** | `bridgetek_idm2040_43a` | 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... | bridgetek_idm2040_43a | RP2040 | BridgeTek | 262,144 | 8,388,608 |
pyintel_hw_cot_000156 | 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: **ST Nucleo L476RG**
| 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 Control... | <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... | nucleo_l476rg | STM32L476RGT6 | ST | 98,304 | 1,048,576 |
pyintel_hw_cot_000157 | 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: **Adafruit QT Py ESP32-S2**
| Constraint Parameter | Required Budget | Board Capability (`adafruit_qtpy_esp32s2`) |
| :--- | :--- | :--- |
| **Framebuffer Allocation** | 300 KB (480x320 @ 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 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_qtpy_esp32s2 | ESP32S2 | Adafruit | 327,680 | 4,194,304 |
pyintel_hw_cot_000158 | 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: **ST STM32L4+ Discovery kit IoT node**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `disco_l4s5i_iot01a` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `STM32L4S5VIT6` | Native dual-core/accelerated processing |
| **Operating Frequenc... | <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... | disco_l4s5i_iot01a | STM32L4S5VIT6 | ST | 655,360 | 2,097,152 |
pyintel_hw_cot_000159 | 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: **Unexpected Maker TinyS2**
| Constraint Parameter | Required Budget | Board Capability (`um_tinys2`) |
| :--- | :--- | :--- |
| **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... | um_tinys2 | ESP32S2 | Unexpected Maker | 327,680 | 4,194,304 |
pyintel_hw_cot_000160 | 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 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 1024-point buffer represents $T_{window} = 1024 / (44.1 \times 10^3) \approx 23.22 \text{ ms}$.
- **Processin... | ### Recommended Board: **senseBox MCU-S2 ESP32-S2**
| DSP Parameter | Value | Advantage |
| :--- | :--- | :--- |
| **Board ID** | `sensebox_mcu_esp32s2` | Verified Open Board Registry entry |
| **Processor Core** | `ESP32S2` | Hardware FPU & DSP SIMD extensions |
| **Clock Speed** | 240 MHz | FFT computes in $< 2 \tex... | <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 44.1 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support ... | sensebox_mcu_esp32s2 | ESP32S2 | senseBox | 327,680 | 4,194,304 |
pyintel_hw_cot_000161 | 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: **Turta IoT Node**
| Parameter | Specification | Functional Advantage |
| :--- | :--- | :--- |
| **Registry ID** | `turta_iot_node` | Registered open-hardware entry |
| **MCU Architecture** | `ESP32` | High-speed real-time core |
| **CAN Bus Interface** | wifi, bluetooth, ethernet, can | Hardwar... | <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... | turta_iot_node | ESP32 | Turta | 327,680 | 4,194,304 |
pyintel_hw_cot_000162 | 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: **Arduino M0 Pro (Programming/Debug Port)**
| Requirement | Specification | Verification |
| :--- | :--- | :--- |
| **Board ID** | `mzeropro` | Registered entry in Open Board Registry |
| **Microcontroller** | `SAMD21G18A` | Direct native USB 2.0 FS silicon |
| **USB Stack** | TinyUSB / Native D... | <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... | mzeropro | SAMD21G18A | Arduino | 32,768 | 262,144 |
pyintel_hw_cot_000163 | 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: **TTGO T1**
| 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** | H... | <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... | ttgo-t1 | ESP32 | TTGO | 327,680 | 4,194,304 |
pyintel_hw_cot_000164 | 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: **Pico**
| 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** | Hard... | <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... | rpipico | RP2040 | Raspberry Pi | 262,144 | 2,097,152 |
pyintel_hw_cot_000165 | 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: **RP2040 LoRa**
| 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... | waveshare_rp2040_lora | RP2040 | Waveshare | 262,144 | 2,097,152 |
pyintel_hw_cot_000166 | 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: **Fruit Jam RP2350**
| Architectural Feature | Specification | Role in FOC Algorithm |
| :--- | :--- | :--- |
| **Board ID** | `adafruit_fruitjam` | Verified Open Board Registry entry |
| **MCU Core** | `RP2350` | High-speed real-time core with hardware math |
| **Core Clock** | 150 MHz | Comple... | <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... | adafruit_fruitjam | RP2350 | Adafruit | 524,288 | 16,777,216 |
pyintel_hw_cot_000167 | 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: **Thing Plus RP2040**
| Architectural Feature | Specification | Role in FOC Algorithm |
| :--- | :--- | :--- |
| **Board ID** | `sparkfun_thingplusrp2040` | Verified Open Board Registry entry |
| **MCU Core** | `RP2040` | High-speed real-time core with hardware math |
| **Core Clock** | 133 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 40 kHz PWM frequency with 3-phase complementary outputs and dead-time insertion. I require fast dual/triple ADC sampling synchronized with PWM cente... | sparkfun_thingplusrp2040 | RP2040 | SparkFun | 262,144 | 16,777,216 |
pyintel_hw_cot_000168 | 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 ~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: **WEMOS LOLIN32**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `lolin32` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `ESP32` | Native dual-core/accelerated processing |
| **Operating Frequency** | 240 MHz | Sufficient throughput fo... | <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... | lolin32 | ESP32 | WEMOS | 327,680 | 4,194,304 |
pyintel_hw_cot_000169 | 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: **Hexiwear**
| DSP Parameter | Value | Advantage |
| :--- | :--- | :--- |
| **Board ID** | `hexiwear` | Verified Open Board Registry entry |
| **Processor Core** | `MK64FN1M0VDC12` | Hardware FPU & DSP SIMD extensions |
| **Clock Speed** | 120 MHz | FFT computes in $< 2 \text{ ms}$ (well below 4... | <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 ... | hexiwear | MK64FN1M0VDC12 | MikroElektronika | 262,144 | 1,048,576 |
pyintel_hw_cot_000170 | 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: **STM32-E407**
| Architectural Feature | Specification | Role in FOC Algorithm |
| :--- | :--- | :--- |
| **Board ID** | `olimex_e407` | Verified Open Board Registry entry |
| **MCU Core** | `STM32F407ZGT6` | High-speed real-time core with hardware math |
| **Core Clock** | 168 MHz | Completes F... | <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... | olimex_e407 | STM32F407ZGT6 | Olimex | 131,072 | 1,048,576 |
pyintel_hw_cot_000171 | 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: **TTGO T1**
| Constraint Parameter | Required Budget | Board Capability (`ttgo-t1`) |
| :--- | :--- | :--- |
| **Framebuffer Allocation** | 112 KB (240x240 @ 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 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... | ttgo-t1 | ESP32 | TTGO | 327,680 | 4,194,304 |
pyintel_hw_cot_000172 | 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: **Marble Pico**
| 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... | groundstudio_marble_pico | RP2040 | GroundStudio | 262,144 | 8,388,608 |
pyintel_hw_cot_000173 | 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 160 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: **TAMC DPU ESP32**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `dpu_esp32` | 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 160 KB of unfragmented dynamic heap (accounting f... | dpu_esp32 | ESP32 | TAMC | 327,680 | 8,388,608 |
pyintel_hw_cot_000174 | 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: **Pico2XL**
| Architectural Feature | Specification | Role in FOC Algorithm |
| :--- | :--- | :--- |
| **Board ID** | `olimex_pico2xl` | Verified Open Board Registry entry |
| **MCU Core** | `RP2350` | High-speed real-time core with hardware math |
| **Core Clock** | 150 MHz | Completes FOC loop... | <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... | olimex_pico2xl | RP2350 | Olimex | 524,288 | 2,097,152 |
pyintel_hw_cot_000175 | 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 ~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: **XinaBox CW02**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `xinabox_cw02` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `ESP32` | Native dual-core/accelerated processing |
| **Operating Frequency** | 240 MHz | Sufficient throughpu... | <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... | xinabox_cw02 | ESP32 | XinaBox | 327,680 | 4,194,304 |
pyintel_hw_cot_000176 | 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 PRO**
| Constraint Parameter | Required Budget | Board Capability (`lolin_d32_pro`) |
| :--- | :--- | :--- |
| **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... | lolin_d32_pro | ESP32 | WEMOS | 327,680 | 4,194,304 |
pyintel_hw_cot_000177 | 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: **Challenger NB 2040 WiFi**
| Requirement | Specification | Verification |
| :--- | :--- | :--- |
| **Board ID** | `challenger_nb_2040_wifi` | Registered entry in Open Board Registry |
| **Microcontroller** | `RP2040` | 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 ... | challenger_nb_2040_wifi | RP2040 | iLabs | 262,144 | 8,388,608 |
pyintel_hw_cot_000178 | 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: **ESP32-S3 PowerFeather**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `esp32s3_powerfeather` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `ESP32S3` | Native dual-core/accelerated processing |
| **Operating Frequency** | 240 MHz | S... | <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... | esp32s3_powerfeather | ESP32S3 | PowerFeather | 327,680 | 8,388,608 |
pyintel_hw_cot_000179 | 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: **Trinkey RP2040 QT**
| Requirement | Specification | Verification |
| :--- | :--- | :--- |
| **Board ID** | `adafruit_trinkeyrp2040qt` | Registered entry in Open Board Registry |
| **Microcontroller** | `RP2040` | Direct native USB 2.0 FS silicon |
| **USB Stack** | TinyUSB / Native Driver | Cu... | <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_trinkeyrp2040qt | RP2040 | Adafruit | 262,144 | 8,388,608 |
pyintel_hw_cot_000180 | 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: **IoT Node LoRaWAN**
| Constraint Parameter | Required Budget | Board Capability (`sparkfun_iotnode_lorawanrp2350`) |
| :--- | :--- | :--- |
| **Framebuffer Allocation** | 300 KB (480x320 @ 16-bpp RGB565) | Easily allocated in internal SRAM |
| **LVGL GUI Heap** | 64 KB | Supported with substant... | <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... | sparkfun_iotnode_lorawanrp2350 | RP2350 | SparkFun | 524,288 | 16,777,216 |
pyintel_hw_cot_000181 | 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: **SparkFun ESP32 Thing Plus**
| Parameter | Specification | Functional Advantage |
| :--- | :--- | :--- |
| **Registry ID** | `esp32thing_plus` | 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... | esp32thing_plus | ESP32 | SparkFun Electronics | 327,680 | 16,777,216 |
pyintel_hw_cot_000182 | 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 Opta**
| Architectural Feature | Specification | Role in FOC Algorithm |
| :--- | :--- | :--- |
| **Board ID** | `opta` | Verified Open Board Registry entry |
| **MCU Core** | `STM32H747XIH6` | High-speed real-time core with hardware math |
| **Core Clock** | 480 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... | opta | STM32H747XIH6 | Arduino | 523,624 | 786,432 |
pyintel_hw_cot_000183 | 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: **Raytac MDBT50Q-RX Dongle**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `raytac_mdbt50q_rx` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `NRF52840` | Native dual-core/accelerated processing |
| **Operating Frequency** | 64 MHz | S... | <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... | raytac_mdbt50q_rx | NRF52840 | Raytac | 248,832 | 815,104 |
pyintel_hw_cot_000184 | 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: **Pontech NoFire**
| Constraint Parameter | Required Budget | Board Capability (`nofire`) |
| :--- | :--- | :--- |
| **Framebuffer Allocation** | 112 KB (240x240 @ 16-bpp RGB565) | Easily allocated in internal SRAM |
| **LVGL GUI Heap** | 32 KB | Supported with substantial overhead |
| **Total S... | <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... | nofire | 32MZ2048EFG100 | Pontech | 524,288 | 2,080,768 |
pyintel_hw_cot_000185 | 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: **CNRS AW2ETH**
| DSP Parameter | Value | Advantage |
| :--- | :--- | :--- |
| **Board ID** | `cnrs_aw2eth` | 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 42.7... | <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 ... | cnrs_aw2eth | ESP32 | CNRS | 327,680 | 4,194,304 |
pyintel_hw_cot_000186 | 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 ~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: **ElectronutLabs Blip**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `electronut_blip` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `NRF52840` | Native dual-core/accelerated processing |
| **Operating Frequency** | 64 MHz | Sufficie... | <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... | electronut_blip | NRF52840 | ElectronutLabs | 262,144 | 1,048,576 |
pyintel_hw_cot_000187 | 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: **RP2040-Shim**
| DSP Parameter | Value | Advantage |
| :--- | :--- | :--- |
| **Board ID** | `silicognition_rp2040_shim` | 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 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 ... | silicognition_rp2040_shim | RP2040 | Silicognition | 262,144 | 4,194,304 |
pyintel_hw_cot_000188 | 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 ~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: **OLIMEX ESP32-DevKit-LiPo**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `esp32-devkitlipo` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `ESP32` | Native dual-core/accelerated processing |
| **Operating Frequency** | 240 MHz | Suff... | <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... | esp32-devkitlipo | ESP32 | OLIMEX | 327,680 | 4,194,304 |
pyintel_hw_cot_000189 | 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: **Unexpected Maker RMP**
| Requirement | Specification | Verification |
| :--- | :--- | :--- |
| **Board ID** | `um_rmp` | Registered entry in Open Board Registry |
| **Microcontroller** | `ESP32S2` | Direct native USB 2.0 FS silicon |
| **USB Stack** | TinyUSB / Native Driver | Custom HID/MIDI/... | <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... | um_rmp | ESP32S2 | Unexpected Maker | 327,680 | 4,194,304 |
pyintel_hw_cot_000190 | 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 M0 Pro (Programming/Debug Port)**
| Requirement | Specification | Verification |
| :--- | :--- | :--- |
| **Board ID** | `mzeropro` | Registered entry in Open Board Registry |
| **Microcontroller** | `SAMD21G18A` | Direct native USB 2.0 FS silicon |
| **USB Stack** | TinyUSB / Native D... | <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 ... | mzeropro | SAMD21G18A | Arduino | 32,768 | 262,144 |
pyintel_hw_cot_000191 | 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 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 1024-point buffer represents $T_{window} = 1024 / (44.1 \times 10^3) \approx 23.22 \text{ ms}$.
- **Processin... | ### Recommended Board: **Deneyap Kart**
| DSP Parameter | Value | Advantage |
| :--- | :--- | :--- |
| **Board ID** | `deneyapkart` | 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 23.... | <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 44.1 kHz sampling rate with CMSIS-DSP SIMD acceleration or hardware FPU. The board must support ... | deneyapkart | ESP32 | T3 Foundation | 327,680 | 4,194,304 |
pyintel_hw_cot_000192 | 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: **Marble Pico**
| Architectural Feature | Specification | Role in FOC Algorithm |
| :--- | :--- | :--- |
| **Board ID** | `groundstudio_marble_pico` | 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 20 kHz PWM frequency with 3-phase complementary outputs and dead-time insertion. I require fast dual/triple ADC sampling synchronized with PWM cente... | groundstudio_marble_pico | RP2040 | GroundStudio | 262,144 | 8,388,608 |
pyintel_hw_cot_000193 | 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: **Mbed Connect Cloud**
| DSP Parameter | Value | Advantage |
| :--- | :--- | :--- |
| **Board ID** | `mbed_connect_odin` | Verified Open Board Registry entry |
| **Processor Core** | `STM32F439ZIY6` | Hardware FPU & DSP SIMD extensions |
| **Clock Speed** | 168 MHz | FFT computes in $< 2 \text{ ... | <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... | mbed_connect_odin | STM32F439ZIY6 | u-blox | 262,144 | 2,097,152 |
pyintel_hw_cot_000194 | 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 ~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 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 172 KB of unfragmented dynamic heap (accounting f... | adafruit_feather_esp32s3_nopsram | ESP32S3 | Adafruit | 327,680 | 8,388,608 |
pyintel_hw_cot_000195 | 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: **NXP i.MX RT1060 Evaluation Kit**
| Constraint Parameter | Required Budget | Board Capability (`mimxrt1060_evk`) |
| :--- | :--- | :--- |
| **Framebuffer Allocation** | 300 KB (480x320 @ 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 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... | mimxrt1060_evk | MIMXRT1062DVL6A | NXP | 33,554,432 | 8,388,608 |
pyintel_hw_cot_000196 | 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 ~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: **SG-O AirMon**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `sg-o_airMon` | 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... | sg-o_airMon | ESP32 | SG-O | 327,680 | 4,194,304 |
pyintel_hw_cot_000197 | 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: **Maker Nano RP2040**
| Architectural Feature | Specification | Role in FOC Algorithm |
| :--- | :--- | :--- |
| **Board ID** | `cytron_maker_nano_rp2040` | Verified Open Board Registry entry |
| **MCU Core** | `RP2040` | High-speed real-time core with hardware math |
| **Core Clock** | 133 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... | cytron_maker_nano_rp2040 | RP2040 | Cytron | 262,144 | 2,097,152 |
pyintel_hw_cot_000198 | 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: **RP2040 LCD 1.28**
| DSP Parameter | Value | Advantage |
| :--- | :--- | :--- |
| **Board ID** | `waveshare_rp2040_lcd_1_28` | 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 ... | waveshare_rp2040_lcd_1_28 | RP2040 | Waveshare | 262,144 | 2,097,152 |
pyintel_hw_cot_000199 | 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: **unPhone 7**
| Specification | Value | Justification |
| :--- | :--- | :--- |
| **Board ID** | `unphone7` | Verified entry in Open Board Registry |
| **Microcontroller (MCU)** | `ESP32` | Native dual-core/accelerated processing |
| **Operating Frequency** | 240 MHz | Sufficient throughput for 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 156 KB of unfragmented dynamic heap (accounting f... | unphone7 | ESP32 | University of Sheffield | 327,680 | 4,194,304 |
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