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| title: README |
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| <p align="center"> |
| <a href="https://intozi.io/"> |
| <img src="https://huggingface.co/spaces/Intozi/README/resolve/main/intozi.svg" alt="Intozi: See beyond, analyze within" width="100%"> |
| </a> |
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| <p align="center"> |
| <a href="https://intozi.io/"><img alt="Website" src="https://img.shields.io/badge/website-intozi.io-E27500?style=flat-square&labelColor=111111"></a> |
| <a href="https://www.linkedin.com/company/intozi/"><img alt="LinkedIn" src="https://img.shields.io/badge/linkedin-intozi-E27500?style=flat-square&labelColor=111111"></a> |
| <a href="https://twitter.com/IntoziTech"><img alt="X" src="https://img.shields.io/badge/x-@IntoziTech-E27500?style=flat-square&labelColor=111111"></a> |
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| <a href="mailto:connect@intozi.io"><img alt="Email" src="https://img.shields.io/badge/email-connect@intozi.io-E27500?style=flat-square&labelColor=111111"></a> |
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| **Intozi** is a deep-tech Vision AI company from Gurugram, India. Our platform, [Ikshana](https://intozi.io/ikshana/), sits on top of the CCTV and IP cameras people already have and turns what they see into real-time alerts and insight for safety, security, traffic and operations. |
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| Our work takes us into city command centres, police control rooms, refineries and factory floors, where footage is low-resolution, night-heavy and crowded with two-wheelers, autos and trucks. Everything we build is shaped by those conditions. |
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| ## What Ikshana watches for |
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| | Area | Examples | |
| |---|---| |
| | Traffic and mobility | Number plate recognition, red-light and speed violations, vehicle counting and classification, wrong parking, incident detection | |
| | People and crowds | People counting, crowd estimation, crowd anomalies and heatmaps, dwell time, tailgating | |
| | Safety and security | PPE compliance, intrusion and fence jumping, loitering, unattended objects, fire and smoke, falls, camera tampering | |
| | Operations and civic | Process monitoring, equipment malfunction, worker behaviour, potholes, garbage overflow, stray animals | |
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| That is a slice of more than 300 use cases, and they run side by side on every camera. |
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| ## How it runs |
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| Ikshana works with existing IP cameras, CCTV and video management systems, so nothing needs to be ripped out. It deploys on-premise, at the edge, air-gapped, in the cloud or as a hybrid, and scales from a single site to hundreds of locations under one dashboard. When a site needs something new, our team builds custom analytics for it end to end, from data collection and labelling through to deployment, alerts and reporting. |
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| Ikshana is in use across smart cities, traffic and transportation, oil and gas, manufacturing, data centres, retail, and aerospace and defence. |
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| ## On Hugging Face |
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| This is where Intozi's AI team shares open work from the field. Follow the organisation to see what we publish next. |
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| ## Work with us |
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| Running a camera network and want it to do more? [Book a demo](https://intozi.io/demo/) or write to [connect@intozi.io](mailto:connect@intozi.io). |
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