Bearing defect modular detection device and method based on machine vision

Abstract

The invention relates to the technical field of machine vision, and discloses a bearing defect modular detection device and method based on machine vision, and the device comprises four independent detection stations which can complete the image collection of the end face, the inner circle chamfer surface, the outer circle surface, the outer chamfer surface and the inner circumferential surface of a bearing outer ring / bearing inner ring; the image analysis device with a preset specific image detection algorithm is used for analyzing and processing, possible surface defects of the bearing are detected and classified; finally, the detection results of the four stations are synthesized, whether the detected bearing is qualified or not is judged, and the problems that an existing bearing detection method is complex in detection process and the universality is poor are solved.

Description

technical field [0001] The invention relates to the technical field of machine vision, in particular to a machine vision-based modular detection device and method for bearing defects. Background technique [0002] As one of the most important basic parts in the industrial field, bearings are widely used and of various types. In the past, the focus of bearing quality control will pay more attention to the machining accuracy and mechanical properties of materials, because these are related to various performances of mechanical products. and longevity. However, in recent years, the appearance quality of bearings has attracted more and more attention. On the one hand, it affects the appearance of the product, and on the other hand, when the surface defects (such as bumps, rust, cracks, black skin, etc.) are serious, they will also seriously affect mechanical products. performance and lifespan. [0003] At present, most small bearing processing factories mainly combine semi-aut...

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Problems solved by technology

[0006] The embodiment of the present invention provides a machine vision-based modular detection device for bearing defects, which includes four independent detection stations, which can respectively complete the inspection of the end face, inner circle chamfer surface, and outer circle surface of the bearing outer ring / bearing inner ring , the image acquisition of the outer chamfer surface and the inner circumferential surface, and analyze and process through the image analysis device preset with a specific image detection algorithm, detect and classify the possible surface defects of the bearing, and finally integrate the four stations The test results can judge whether the tested bearing is qualified or not, which solves the defects of complex testing process and poor versatility in the existing bearing testing methods

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