The goal is to propose and evaluate intelligent visual quality control system capable of automatically detecting abnormalities and flaws of products from images. These abnormalities will be further sorted and organized in cooperation with human operator. 

The project includes overview of state-of-the-art, description of the proposed system, and its evaluation on real data from a trial production facility (data will be supplied by the client).