Crowd and traffic analytics — Temple trust
Camera analytics counting vehicles and people with privacy masking. Delivered for a temple trust client in Pune.
- Location
- Pune
- Year
- 2020
- Duration
- 7 weeks
- Team
- 8 engineers
- 99%
- count accuracy
- 543
- cameras
- 235 ms
- alert latency
The challenge
Data existed but lived in spreadsheets and legacy systems, so decisions were made on instinct rather than evidence.
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
- Runs on-premises; no data leaves the site unless agreed
- Designed, built and supported from Motera, Ahmedabad
- Remote monitoring and over-the-air updates included
- Before-and-after measurements agreed with the client up front
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