Crowd and traffic analytics — Metro rail
Camera analytics counting vehicles and people with privacy masking. Delivered for a metro rail client in Bengaluru.
- Location
- Bengaluru
- Year
- 2024
- Duration
- 4 weeks
- Team
- 14 engineers
- 98%
- count accuracy
- 645
- cameras
- 269 ms
- alert latency
The challenge
Conditions on site — heat, dust, vibration and patchy connectivity — had defeated two earlier attempts at this in metro rail.
What we built
A phased rollout: a measured pilot first, then scale-out. The core runs on YOLO with DeepStream, integrated into existing systems through MapLibre.
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
- Runs on-premises; no data leaves the site unless agreed
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