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Artificial IntelligenceR&DQuality grading

Quality grading — Spices

Hyperspectral and RGB grading of produce, gems and raw material. Delivered for a spices client in Pune.

Location
Pune
Year
2021
Duration
16 weeks
Team
8 engineers
Interactive 3D · drag to rotate
98%
grade accuracy
345
items per min
−94%
manual grading

The challenge

Data existed but lived in spreadsheets and legacy systems, so decisions were made on instinct rather than evidence.

What we built

We ran a two-week discovery sprint, then built and fielded the system end to end on Hyperspectral, PyTorch and OpenCV, with operator training and an SLA.

Delivery timeline

  1. Phase 1

    Discovery sprint and site survey

  2. Phase 2

    Prototype built and tested in the Motera lab

  3. Phase 3

    Pilot on site with before/after measurement

  4. 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
  • Designed, built and supported from Motera, Ahmedabad

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