Edge AI camera — Railways
A custom low-power camera running vision models without the cloud. Delivered for a railways client in Delhi NCR.
- Location
- Delhi NCR
- Year
- 2021
- Duration
- 33 weeks
- Team
- 4 engineers
- 3.7 W
- power draw
- 64 days
- battery
- 1,929
- units deployed
The challenge
Existing vendors had delivered pieces of a edge ai camera system, but nobody owned the integration and the pilot had stalled.
What we built
A phased rollout: a measured pilot first, then scale-out. The core runs on TensorFlow Lite with STM32, integrated into existing systems through PyTorch.
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
- Safety case reviewed with the client's EHS team
- Integrated with existing PLC, ERP or GIS systems — no rip-and-replace
- Remote monitoring and over-the-air updates included
- Operator training delivered in Gujarati, Hindi and English
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