Quality Control Computer Vision System

Implemented a computer vision-based quality control system for a semiconductor manufacturer. The solution uses convolutional neural networks to detect defects on production line items in real-time. Processes 500+ items per minute with 98.5% accuracy, reducing manual inspection requirements by 80% and catching defects that human inspectors typically miss.