Quality Inspection with the support of computer vision techniques

The goal of this project is to develop an image classification system that uses computer vision techniques to quickly categorize a huge number of pictures produced in factories (in this example, stickers) as faulty or non-defective. The product is secure since it can only be used by a firm that manufactures items and cannot be accessed by any other users. The manufacturing company employs a camera to take pictures of the goods as they pass by on a conveyor belt. To obtain the photos that are correctly categorized, these images are merged to create a testing dataset that is provided to the system. The business applies the programme to the many products produced. The accuracy of the picture classification is used to judge the effectiveness of the findings.