Quality grading — Diamond
Hyperspectral and RGB grading of produce, gems and raw material. Delivered for a diamond client in Anand.
- Location
- Anand
- Year
- 2025
- Duration
- 28 weeks
- Team
- 9 engineers
- 99%
- grade accuracy
- 285
- items per min
- −75%
- manual grading
The challenge
Existing vendors had delivered pieces of a quality grading 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 Hyperspectral with PyTorch, integrated into existing systems through OPC UA.
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
- Operator training delivered in Gujarati, Hindi and English
- 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
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