An Embedded System Based Product Defect Detection System

In this work, an embedded system based product defect detection system has been developed for the metal industry. As a test product, sheet metal plates which are used very often in the metal industry containing circular holes have been used. The geometrical information about the holes on the plates have been obtained using Hough circular transformation. Detection of defective products was made by comparison using the reference image. As an embedded system Raspberry Pi Model 3 B+ have been used. Performance analysis of the developed system have been carried out on a special image sets having different resolutions which are obtained for the study. Based on the experimental results it has been shown that the developed system reached 96,29% accuracy rate for the image set with 10MP resolution