Vision-based defect detection

CV is capable nowadays of detecting visual defects on object surfaces or inconsistencies in their designs (such as dents or scratches on a car body), by just analyzing their digital photographs or videos. The manufacturing industry can leverage CV algorithms to automatically detect and remove low-quality and defected products from being packed and reaching customers. There are many possible ways to detect defects within digital content using CV-based algorithms. One simple idea is to solve defect detection as a classification problem, where a vision model can be trained to classify images such as good or defected. A more complex defect detection system will also locate the exact area of an image with a defect. The problem of identifying and locating visual defects can be solved using object-detection algorithms.

In this section, we will build and train a simple defect detection system step by step. In this example, we will use ML classification as a...