Anomaly Detection for Manufacturing Parts

This project utilises OpenCV to perform anomaly detection and paint quality control on manufacturing parts, comparing original images with detected defects. The system highlights anomalies, such as paint imperfections. It aims to enhance quality assurance by identifying and localising issues in real-time during production.