Machine vision based for brake shoe steel back size inspection
Hongzhi Hu, Rui Shao, Yuantao Dai, Zhaohong Ren, Fang Guan · 2023
The traditional dimensional measurement of gate tile steel back is still under the status quo of relying on manual work, which is not conducive to industrialization and automated production. In this paper, we rely on machine vision and image feature extraction to achieve contactless measurement of gate tile backs, preprocess the acquired images, binarization operation, edge detection using Canny operator, and finally obtain the product length and width parameters, square hole length and width parameters, central round hole diameter parameters using Hough transform and least squares method. The experimental results show that the method can accurately measure the index parameters of the gate tile steel backing products, and the detection error is within ±2mm. The method reduces the influence of human factors and environmental factors on the inspection of the gate tile steel backing, improves the measurement accuracy and speed of the quality inspection of the gate tile steel backing, and promotes the automation of the production of the gate tile steel backing to a certain extent.