A collection of VLM models for vehicle make and model recognition, focused on Indian road scenes.
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Organization Card
Intozi is a deep-tech Vision AI company from Gurugram, India. Our platform, 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.
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.
What Ikshana watches for
| 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 |
That is a slice of more than 300 use cases, and they run side by side on every camera.
How it runs
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.
Ikshana is in use across smart cities, traffic and transportation, oil and gas, manufacturing, data centres, retail, and aerospace and defence.
On Hugging Face
This is where Intozi's AI team shares open work from the field. Follow the organisation to see what we publish next.
Work with us
Running a camera network and want it to do more? Book a demo or write to connect@intozi.io.
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