Visual defect inspection — Textile
Deep-learning vision that flags surface and assembly defects at line speed. Delivered for a textile client in Bharuch.
- Location
- Bharuch
- Year
- 2024
- Duration
- 22 weeks
- Team
- 3 engineers
- 97%
- defect recall
- 15
- ms per part
- 61%
- fewer escapes
The challenge
Conditions on site — heat, dust, vibration and patchy connectivity — had defeated two earlier attempts at this in textile.
What we built
We owned the whole stack — hardware, firmware, models and dashboards — using PyTorch, TensorRT, OpenCV so there was one accountable team.
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
- Runs on-premises; no data leaves the site unless agreed
- Before-and-after measurements agreed with the client up front
- Designed, built and supported from Motera, Ahmedabad
- Operator training delivered in Gujarati, Hindi and English
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