Skip to content
Artificial IntelligenceDeliveredQuality grading

Quality grading — Cotton ginning

Hyperspectral and RGB grading of produce, gems and raw material. Delivered for a cotton ginning client in Hyderabad.

Location
Hyderabad
Year
2023
Duration
30 weeks
Team
11 engineers
Interactive 3D · drag to rotate
95%
grade accuracy
288
items per min
−71%
manual grading

The challenge

Leadership wanted measurable results inside one quarter, with no disruption to running operations.

What we built

Built in our Motera lab, validated on a replica rig, then commissioned on site in days using Hyperspectral and OpenCV.

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

  • Runs on-premises; no data leaves the site unless agreed
  • Designed, built and supported from Motera, Ahmedabad
  • Before-and-after measurements agreed with the client up front
  • Integrated with existing PLC, ERP or GIS systems — no rip-and-replace

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.