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Artificial IntelligenceLiveQuality grading

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
Interactive 3D · drag to rotate
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

  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
  • Remote monitoring and over-the-air updates included

Have a problem that needs a machine built for it?

Tell us the constraint — line speed, accuracy, environment, deadline. An engineer will read it and reply with a straight answer, including when the answer is that you don't need us.

We reply to every enquiry within one business day.