Quality grading — Food processing
Hyperspectral and RGB grading of produce, gems and raw material. Delivered for a food processing client in Bengaluru.
- Location
- Bengaluru
- Year
- 2021
- Duration
- 33 weeks
- Team
- 6 engineers
- 98%
- grade accuracy
- 388
- items per min
- −62%
- manual grading
The challenge
Conditions on site — heat, dust, vibration and patchy connectivity — had defeated two earlier attempts at this in food processing.
What we built
We owned the whole stack — hardware, firmware, models and dashboards — using Hyperspectral, PyTorch, OpenCV so there was one accountable team.
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
- Integrated with existing PLC, ERP or GIS systems — no rip-and-replace
- Documentation, drawings and source handed over at close
- Before-and-after measurements agreed with the client up front
- Remote monitoring and over-the-air updates included
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