An inspection method for burrs in an inlet side hole using a low cost vision system

We propose a vision-based automatic inspection system for machine parts using a novel image processing method. We also built a standalone inspection system using low-cost computing hardware, camera, and lens. Our system inspects rough spot or unwanted particles, which are called “burr”, on machine parts after they are manufactured by CNC machines. A burr is side effects during machining operations. It causes many problems in assembling tasks or brings out machine failure at working time. To automate screening out defected goods, which have burrs, we proposed a low cost vision system and image processing method. Furthermore, we evaluated the accuracy of the proposed method using burr detection rates.