Edge AI camera — Wildlife
A custom low-power camera running vision models without the cloud. Delivered for a wildlife client in GIFT City.
- Location
- GIFT City
- Year
- 2025
- Duration
- 28 weeks
- Team
- 6 engineers
- 4.3 W
- power draw
- 107 days
- battery
- 1,016
- units deployed
The challenge
The wildlife team was relying on manual effort that could not keep up with volume, and every miss had a direct cost.
What we built
We ran a two-week discovery sprint, then built and fielded the system end to end on TensorFlow Lite, STM32 and Zephyr, with operator training and an SLA.
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
- Safety case reviewed with the client's EHS team
- Documentation, drawings and source handed over at close
- Remote monitoring and over-the-air updates included
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