The Challenge
A leading multi-national vehicle manufacturer relied on manual visual inspection for 500+ critical engine parts. High fatigue led to a 5% defect leakage, causing expensive assembly line halts and aftermarket recalls.
Our Solution
We deployed a high-speed Computer Vision system at the edge. Using custom-trained Deep Learning models (ResNet-50 & TensorRT), we achieved real-time detection of micro-cracks and misalignment with sub-millisecond latency.
Business Impact
99.8%Detection Accuracy
40%Reduction in Rework Costs
ZeroManual Fatigue Errors