Problem
Manual QA missed subtle defects and could not keep pace with production lines.
Case Study · 2023
Research-backed ML system detecting manufacturing defects from camera feeds with low false positives.
Manual QA missed subtle defects and could not keep pace with production lines.
Trained CNN models, optimized inference, and built a review console for operators.
PyTorch training, ONNX runtime, Python services, React review UI.
Reached 96.4% precision and reduced inspection bottlenecks significantly.
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