Small bearing quality detection method, device and system based on machine vision

A quality detection method and detection device technology, applied in the direction of measuring devices, optical devices, instruments, etc., can solve the problems of low detection efficiency of small bearings, achieve low power consumption, improve accuracy, and suppress reflections

Pending Publication Date: 2019-09-17
JIANGSU UNIV OF TECH
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Problems solved by technology

[0005] Aiming at the deficiencies of the above-mentioned prior art, the present invention provides a small bearing quality inspection method, device and system based on machine vision, which effectively solves the problem of low detection efficiency of small and medium-sized bearings in the prior art

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  • Small bearing quality detection method, device and system based on machine vision
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  • Small bearing quality detection method, device and system based on machine vision

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Embodiment Construction

[0040] In order to make the content of the present invention clearer and easier to understand, the content of the present invention will be further described below in conjunction with the accompanying drawings. Of course, the present invention is not limited to this specific embodiment, and general replacements known to those skilled in the art are also covered within the protection scope of the present invention.

[0041] like figure 1 Shown is a schematic flow chart of an implementation of the machine vision-based small bearing quality detection method provided by the present invention. It can be seen from the figure that the small bearing quality detection method includes:

[0042] S1 determines whether there is a small bearing to be detected in the area to be detected, and if so, jumps to step S2;

[0043] S2 collects images of small bearings;

[0044] S3 matches the template image in the database according to the collected image;

[0045] S4 Obtain the image difference...

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Abstract

The invention discloses a small bearing quality detection method, device and system based on machine vision, wherein the method comprises the steps of S1, judging whether a to-be-detected small bearing exists in a to-be-detected region, and if yes, skipping to the step S2; S2, collecting an image of a small bearing; S3, matching the template images in a database according to the collected images; S4, obtaining an image difference between the collected image and the matched template image through an image frame difference method, and analyzing the image difference to determine whether a defect region exists or not; and S5, controlling the small bearing to be conveyed to a corresponding discharging rail. According to the present invention, the small bearing quality detection, the automatic feeding and the automatic removing based on the machine vision are achieved, so that the accuracy is improved, and the purpose of rapid and automatic detection is achieved.

Description

technical field [0001] The invention relates to the technical field of machine vision non-destructive testing, in particular to a small bearing quality testing method, device and system. Background technique [0002] As the most common basic parts in modern mechanical structures, bearings are mainly used to reduce friction and support rotation. In recent years, through the transformation and improvement of technology, the production of bearings has developed from the initial simple manufacturing technology to an efficient production mode relying on CNC machining, advanced heat treatment technology and fully automated production lines. However, various defects will inevitably appear in the production process, which seriously affects the utilization rate and productivity of the bearing. Due to the variety of bearing surface defects and the randomness of defects, contact detection is difficult and inefficient. Therefore, non-contact detection using machine vision detection tec...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/11G06K9/32G06K9/62G01B11/00G01N21/88B07C5/00B07C5/02B07C5/04B07C5/36
CPCG06T7/0004G06T7/11G01B11/00G01N21/8851B07C5/00B07C5/04B07C5/02B07C5/362G06T2207/10016G06T2207/20224G06T2207/30164G01N2021/8887G06V10/25G06V10/751
Inventor 汪以歆范洪辉余光辉徐镪
Owner JIANGSU UNIV OF TECH
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