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
- 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
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
- 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
Related AI projects
AILiveDiamond · Anand · 2025
Quality grading — Diamond
Hyperspectral and RGB grading of produce, gems and raw material. Delivered for a diamond client in Anand.
- 99%
- grade accuracy
- 285
- items per min
- −75%
- manual grading
AILiveFood processing · Bengaluru · 2021
Quality grading — Food processing
Hyperspectral and RGB grading of produce, gems and raw material. Delivered for a food processing client in Bengaluru.
- 98%
- grade accuracy
- 388
- items per min
- −62%
- manual grading
AIDeliveredCotton ginning · Hyderabad · 2023
Quality grading — Cotton ginning
Hyperspectral and RGB grading of produce, gems and raw material. Delivered for a cotton ginning client in Hyderabad.
- 95%
- grade accuracy
- 288
- items per min
- −71%
- manual grading
AIR&DSpices · Pune · 2021
Quality grading — Spices
Hyperspectral and RGB grading of produce, gems and raw material. Delivered for a spices client in Pune.
- 98%
- grade accuracy
- 345
- items per min
- −94%
- manual grading
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.