Design of A Digital Image Processing Technology System for Identifying and Detecting Paint Surface Defects
Small defects on the surface of the bodywork after an automated painting process are one of the biggest problems facing quality control in the automotive industry today.Image processing is used to realize a new inspection method and to ensure that the en-tire area is inspected.The processing method is i.e.an image background extraction method based on the local directional blurring method and a modified image contrast enhancement,which enables the detection of defects throughout the illuminated area.In addi-tion,the system has been trialed on the production line at the Volkswagen plant in Chengdu,Sichuan,using a multi-stage architecture for multiple processing.A complete analysis of the performance is shown here,as well as several tests to demonstrate robustness and reliability.
digital image processingvehicle inspectionhuman-machine collaborationautomatic visual inspection
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