Crowd and traffic analytics — Smart city
Camera analytics counting vehicles and people with privacy masking. Delivered for a smart city client in Nagpur.
- Location
- Nagpur
- Year
- 2026
- Duration
- 5 weeks
- Team
- 5 engineers
- 98%
- count accuracy
- 434
- cameras
- 271 ms
- alert latency
The challenge
The smart city team was relying on manual effort that could not keep up with volume, and every miss had a direct cost.
What we built
Built in our Motera lab, validated on a replica rig, then commissioned on site in days using YOLO and TensorRT.
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
- Designed, built and supported from Motera, Ahmedabad
- Before-and-after measurements agreed with the client up front
- Integrated with existing PLC, ERP or GIS systems — no rip-and-replace
- Documentation, drawings and source handed over at close
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