Computer Vision Defect Detection in Manufacturing
Challenge
High false reject rates on a precision line caused scrap and delay.
Approach
Built dataset, trained lightweight CNN for edge deployment, added active learning loop and MLOps monitoring.
Results
Edge inference met 30ms latency target; false rejects dropped substantially; operators received human-in-the-loop UI.
- −34% false rejects
- −18% unplanned downtime
