New filter for detecting defects on industrial parts by artificial vision

Quality control by artificial vision is getting more and more widespread within the industry. Indeed, in many cases, industrial applications require a control with high stability performance, satisfying high production rate. The purpose of this paper is to present a method to detect in real time defects located on the circumference of industrial parts that have a circular shape. Meanwhile, production steps can lead to an oval shape or to different sizes of parts. These two phenomena can lead to miss defects. Therefore a constant mask will not be able to detect these defects correctly. The control of the circularity of these parts can be achieved in two steps.