Applications
Government and smart cities
Municipal camera networks already exist almost everywhere. What is usually missing is anything watching them at 3 AM.
The same pipeline that classifies an elephant inside a polygon classifies a vehicle, a crowd density or a helmet violation. The difference is the model and the region, not the architecture.
Person detection already ships as part of Deerkha Drishti, so some of what follows is nearer than it looks. But wildlife protection is the only field where we have live deployments and results to show. Everything on this page is a direction we are equipped to take, not a track record — and we would rather say so.
Where it applies
- Perimeter and public-space surveillance
- Region-based alerting on existing municipal cameras, with a verifiable record attached to every event.
- Traffic monitoring
- Flow, stoppage and incident detection on junction cameras, processed at the edge rather than backhauled.
- Vehicle safety and helmet detection
- Classification at the point of capture, with the frame retained as evidence.
- Crowd analytics
- Occupancy and density over defined zones, reported as counts rather than footage.
- Parking and violation detection
- Occupancy state and violation events on the cameras already covering a lot.
Have one of these problems?
If the shape matches — cameras already installed, a region that matters, and a need to act locally — we would like to talk about it.