Achieving 99.7% Defect Detection in Automotive Manufacturing

!The Challenge

PrecisionAuto's manual visual inspection of engine components was achieving only 94.2% accuracy, allowing defective parts to reach final assembly. Recalls were costing ₹12 crore annually, and inspection was a bottleneck at 180 parts/hour.

→Our Solution

We deployed a multi-camera AI inspection system using custom-trained YOLO models for surface defect detection, combined with dimensional measurement using stereo vision. The system runs at 450 parts/hour, generates full inspection reports, and automatically routes defective parts for rework.

Technology Stack