The Onion Project is designed to enhance the efficiency and accuracy of quality control in factory conveyor belt operations using advanced artificial intelligence techniques. By leveraging the capabilities of the YOLO (You Only Look Once) object detection model in conjunction with an anomaly detection model, this project aims to identify and segregate onions that do not meet predefined quality standards. The primary objective is to automate the inspection process, ensuring that only onions of acceptable quality proceed further down the production line, thereby optimizing productivity and reducing manual labor.
