Be the first to like this
This paper describes the development of a machine
vision system for automated tool wear inspection. The proposed
approach measures the tool wear region based on the active
contour algorithm and classifies the wear type by means of
neural networks. Test results show that prevalent tool wears
can be checked robustly in a real production environment and
therefore the manufacturing automation can be improved.