Car brake pad surface defect detecting and automatic sorting system based on machine vision

Abstract

The invention discloses a car brake pad surface defect detecting and automatic sorting system based on machine vision. The system comprises a machine vision system. The machine vision system comprisesa camera, a camera lens and a light source. The machine vision system is connected to a CPU. The CPU is connected with an upper computer and a sorting arm. The upper computer involves image preprocessing, image segmentation, feature extraction and mode recognition, mode recognition involves color recognition, shape recognition, texture recognition and multi-feature fusion recognition, the machinevision system detects a to-be-sorted target image and transfers information to the CPU, and the CPU processes the received information. The car brake pad surface defect detecting and automatic sorting system based on machine vision is reasonable in design, brake pads are conveniently detected through image acquisition, processing and recognition, the sorting arm is controlled to act by means of detecting results, brake pads with detects are sorted to an unqualified area, qualified products leave a factory, the purpose of automatic sorting is achieved, and using is facilitated.

Description

technical field [0001] The invention relates to the technical field of an automatic sorting system for detecting surface defects of automobile brake pads, in particular to an automatic sorting system for detecting surface defects of automobile brake pads based on machine vision. Background technique [0002] The brake pads used in automobiles not only have strict requirements on materials and sizes, but also strictly control surface defects. The surface defects of the pads mainly include cracks, cracks, scratches, defects, indentations and burrs, etc., which affect the reliability of the braking system. These defects are often the cause of slow braking, increased braking distance, and even brake failure accidents, which in turn lead to car rear-end collisions, collisions, collisions with obstacles, or collisions with people, resulting in serious damage to the vehicle and accidents. The phenomenon of fire or even explosion, so the brake pads need to be tested during the produ...

AI Technical Summary

Problems solved by technology

[0002] The brake pads used in automobiles not only have strict requirements on materials and sizes, but also strictly control surface defects. The surface defects of the pads mainly include cracks, cracks, scratches, defects, indentations and burrs, etc., which affect the reliability of the braking system. These defects are often the cause of slow braking, increased braking distance, and even brake failure accidents, which in turn lead to car rear-end collisions, collisions, collisions with obstacles, or collisions with people, resulting in serious damage to the vehicle and accidents. The phenomenon of fire or even explosion, so the brake pads need to be tested during the production process;

[0003] At present, in the production process, the traditional detection method for surface defects of brake pads is usually visual inspection. After the problem is found, it is re-examined with a tool microscope or projector. However, this method has a large amount of detection, high work intensity, and easy fatigue of the eyes, so the detection stability is poor. And the efficiency is low, which can not meet the needs of use, so we propose an automatic sorting system for detecting surface defects of automobile brake pads based on machine vision to solve the above problems

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