Published Paper Details:

The defects in product detection are very much essential in manufacturing to maintain quality. We used Computer Vision (CV) and Machine Learning (ML) Algorithms to detect defects. By using Machine Learning (ML) Algorithm we set the highest standards to maintain quality control. First, we classify the object according to their shape and geometry which is already in the database. Second, find the defects in the object. Using a Machine Learning algorithm for defect detections. Third, we summarize and analyse the application of Computer Vision, Machine Learning and other technologies used for defect detection, by focusing on three aspects, namely method and experimental results. To in addition apprehending the problems withinside the area of defect detection, we inspect the capabilities and traits of the current device used for defect detection. The performance of general product production and inspection method can be elevated with commercial automation and it also minimizes resources and saves time The core ideas and codes of studies related to high precision, high positioning, rapid detection, small item, complicated background, occluded item detection and item association, are summarized.