Abstract

To solve the problem in the detection of tire nail holes which is caused by manual positioning or X-ray radiation, a machine vision technology-assisted highvoltage discharge detection system is designed to effectively detect the nail holes and accurately locate the holes. The Otsu is used to perform binarization of the image after the grayscale conversion. And the position of the nail hole is precisely positioned by tracking the object tracker of a specific color. After 5 groups of actual tests, we can accurately identify the location of the tire surface diameter of 2.5mm and above through holes, with the detection rate up to 92%.

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