Abstract
Motor brush assembly inspection is an important link in the industrial field. Traditional quality inspection methods have high errors, poor efficiency and low automation. To this end, the OpenMV machine vision module is used, through the MicroPython language, combined with Canny operator and Hough Transform (Hough Transform, Hough) algorithm. A program is designed to collect the image of the motor brush and process the data by itself. After the actual application in the factory, the detection effect is good, and the accuracy rate is more than 90%, which effectively improves the detection efficiency and meets the real-time quality inspection needs of the motor brushes.
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