Abstract
In this study, a computer vision-based inspection system is designed to detect the presence of irregularly entangled copper wire during twining for industrial processing. With the assistance of high speed industrial camera, the images of copper wire during twining would be recorded in real-time. All lines in the images are detected by Hough transform. According to the calculated slope of all lines detected in the images, a threshold is artificially set to distinguish between the regularly coiled and irregularly entangled copper wire. This defect detection system could greatly improve the efficiency of industrial production.
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