Inteligentní vizuální kontrola kvality výrobků

Intelligent visual quality control

contract

visual quality control, anomaly detection, clustering

Technical report on intelligent visual quality control.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). 

Hradiš Michal, Ing., Ph.D. (DCGM) – research leader
Kolář Martin, M.Sc., Ph.D. et Ph.D.