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Bearing roller defect detection system and detection method based on machine vision

A technology for detection of bearing rollers and defects, applied in sorting and other directions, can solve the problems of low detection accuracy and achieve the effects of improving detection accuracy, avoiding detection errors, and improving detection accuracy

Inactive Publication Date: 2021-09-17
ZHEJIANG UNIVERSITY OF SCIENCE AND TECHNOLOGY
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Problems solved by technology

[0003] In order to solve the problem of low accuracy of existing defect detection methods, the present invention provides a machine vision-based bearing roller defect detection system and detection method

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  • Bearing roller defect detection system and detection method based on machine vision
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  • Bearing roller defect detection system and detection method based on machine vision

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Embodiment Construction

[0047] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and implementation examples. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

[0048] It should be noted that when an element is referred to as being "fixed to" another element, it can be directly on the other element or intervening elements may also be present. When an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present. The terms "vertical," "horizontal," "left," "right," and similar expressions are used herein for illustrative purposes only.

[0049] In the present invention, the terms "upper", "lower", "left", "right", "front", "rear", "top", "bo...

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Abstract

The invention provides a bearing roller defect detection system and detection method based on machine vision. The bearing roller defect detection system and detection method are used for detecting defects of bearing rollers, the detection system comprises a transmission mechanism, a cylinder detection mechanism, an end face detection assembly and a sorting mechanism which are sequentially arranged in the transmission direction and are in signal connection with a main control module, wherein the cylinder detection mechanism detects cylinder defects of the bearing rollers, the end face detection mechanism detects end face defects of the end faces of the bearing rollers, and the main control module controls the sorting mechanism to store the bearing rollers in a classified mode according to a cylinder detection result and an end face detection result. By means of the bearing roller defect detection system and detection method based on the machine vision, the efficiency and the precision of defect detection of the bearing rollers can be effectively improved.

Description

【Technical field】 [0001] The present invention relates to the technical field of detection equipment, in particular to a bearing roller defect detection system and detection method based on machine vision. 【Background technique】 [0002] With the development of the industry, the requirements for the yield of various workpieces are getting higher and higher. Bearing rollers are commonly used workpieces in industrial manufacturing, such as roller bearings or cylindrical shafts. In the existing manufacturing process, the defect detection of bearing rollers is often performed by means of manual contact, and it is difficult to comprehensively detect the workpiece by means of manual detection, resulting in low accuracy of defect detection. [Content of the invention] [0003] In order to solve the problem of low accuracy of the existing defect detection methods, the present invention provides a bearing roller defect detection system and detection method based on machine vision. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B07C5/342B07C5/36B07C5/02
CPCB07C5/3422B07C5/36B07C5/02
Inventor 王驰朱勇建沈传兴田世轩杨新波淡卫波陈岁繁
Owner ZHEJIANG UNIVERSITY OF SCIENCE AND TECHNOLOGY
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