Crowd and traffic analytics — Stadium
Camera analytics counting vehicles and people with privacy masking. Delivered for a stadium client in Chennai.
- Location
- Chennai
- Year
- 2026
- Duration
- 25 weeks
- Team
- 4 engineers
- 96%
- count accuracy
- 612
- cameras
- 503 ms
- alert latency
The challenge
Existing vendors had delivered pieces of a crowd and traffic analytics system, but nobody owned the integration and the pilot had stalled.
What we built
We ran a two-week discovery sprint, then built and fielded the system end to end on YOLO, DeepStream and TensorRT, with operator training and an SLA.
Delivery timeline
Phase 1
Discovery sprint and site survey
Phase 2
Prototype built and tested in the Motera lab
Phase 3
Pilot on site with before/after measurement
Phase 4
Scale-out, training and handover
Highlights
- Before-and-after measurements agreed with the client up front
- Remote monitoring and over-the-air updates included
- Designed, built and supported from Motera, Ahmedabad
- Documentation, drawings and source handed over at close
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