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Artificial IntelligenceDeliveredQuality grading

Quality grading — Seafood

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

Location
Vapi
Year
2021
Duration
7 weeks
Team
4 engineers
Interactive 3D · drag to rotate
98%
grade accuracy
132
items per min
−68%
manual grading

The challenge

The seafood team was relying on manual effort that could not keep up with volume, and every miss had a direct cost.

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

  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

  • 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
  • Operator training delivered in Gujarati, Hindi and English

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.