Automated Quality Control with Computer vision

Advanced computer vision system for automatic inspection of finished products on production lines. It uses deep learning models like YOLO and CNNs to detect defects with over 99% accuracy, processing up to 100 pieces per minute. The system integrates with industrial cameras and PLCs, enabling real-time quality control. It supports multi-class defect classification, adaptive learning for new defect types, and seamless integration with MES/ERP systems for automated reporting and analytics