Crowd and traffic analytics — Airport
Camera analytics counting vehicles and people with privacy masking. Delivered for a airport client in Pune.
- Location
- Pune
- Year
- 2025
- Duration
- 5 weeks
- Team
- 11 engineers
- 96%
- count accuracy
- 241
- cameras
- 521 ms
- alert latency
The challenge
Leadership wanted measurable results inside one quarter, with no disruption to running operations.
What we built
We owned the whole stack — hardware, firmware, models and dashboards — using YOLO, DeepStream, TensorRT so there was one accountable team.
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
- Remote monitoring and over-the-air updates included
- Documentation, drawings and source handed over at close
- Designed, built and supported from Motera, Ahmedabad
- Before-and-after measurements agreed with the client up front
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