Industrial image processing uses the potential of AI and modern cameras to record test specimens - which can be products or product parts - under special light and lens settings, and inspect them based on specific criteria. The images are fed into image processing software and processed. The algorithm then analyses the image data and makes a decision. It bases its analyses on previously defined criteria.

This works well, for example, when it comes to checking and evaluating the quality of products, sorting parts or checking labelling and codes for legibility. Vision systems also perform perfectly when recognising and sorting out errors or anomalies in production and distribution chains.