A bearing defect automatic detection system based on multi-angle light source images

Abstract

The invention discloses a bearing defect automatic detection system based on multi-angle light source images. The bearing defect automatic detection system comprises an acquisition unit, a PC end processing unit, a data analysis unit, an intermediate processing unit and a defect detection unit. According to the system, image capturing detection is carried out under the multi-light-source illumination condition, the tiny error can be better detected, the problem of identifying a specific identifier on a bearing is solved, and detection is more intelligent. The system not only comprises softwarein the aspect of bearing image processing, but also independently builds a matched detection processing hardware framework, and simulates the industrial automatic bearing detection process, so that the whole system can smoothly run to achieve the purpose of automatically screening bearings, and meanwhile, the system is more suitable for practical application.

Description

technical field [0001] The invention relates to the technical field of bearing defect detection, in particular to an automatic detection system for bearing defects based on multi-angle light source images. Background technique [0002] The traditional bearing industrial inspection technology mostly performs image detection under the condition of a single light source, some subtle defects are not easy to be identified and detected, and the traditional inspection system cannot intelligently recognize the unique identification characters on the bearing, which is prone to errors and misjudgments. In addition, in the prior art, defect regions are often found by means of a neighborhood pixel comparison method. Contents of the invention [0003] According to the problems existing in the prior art, the present invention discloses an automatic detection system for bearing defects based on multi-angle light source images. The specific solutions include: [0004] A collection unit f...

AI Technical Summary

Problems solved by technology

[0002] The traditional bearing industrial inspection technology mostly performs image detection under the condition of a single light source, some subtle defects are not easy to be identified and detected, and the traditional inspection system cannot intelligently recognize the unique identification characters on the bearing, which is prone to errors and misjudgments

In addition, in the prior art, the defect area is mostly found by the neighborhood pixel comparison method.

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