Bearing part automatic sorting method

Abstract

The invention discloses a bearing part automatic sorting method. The bearing part automatic sorting method comprises the following steps: a conveying device conveys bearing parts to be detected to a detecting area; after the detected bearing parts are conveyed to the detecting area, a position detecting sensor is triggered to send position signals of the bearing parts to be detected to a visual detecting system in real time; the visual detecting system obtains images of the bearing parts to be detected according to position information of the bearing parts to be detected; the obtained images are compared with standard data of the bearing parts to judge if the bearing parts are qualified products; and then, the sorting is performed. The bearing part automatic sorting method detects the surface defects of the bearing parts by a visual mode, is clear in imaging, can guarantee the detecting accuracy, and meanwhile, adopts a belt conveying structure capable of continuously detecting to improve the detecting efficiency.

Description

technical field [0001] The invention relates to the technical field of detection and sorting methods for bearing surface defects, in particular to an automatic sorting method for bearing parts. Background technique [0002] In the quality inspection of bearings, most of the defects on the bearing surface are inspected manually. This method is greatly affected by human factors, it is difficult to ensure accuracy and stability, and it is difficult for human eyes to distinguish small defects. At present, there are also related researches on automatic detection of bearing parts, such as a bearing detection and sorting device based on machine vision disclosed in patent application number CN201510055773.4, but this research requires visual detection under static conditions, and due to the changeable test environment, The detection effect is yet to be verified. Bearings are widely used in a wide range of fields, and the demand for bearings is also increasing day by day. The effici...

AI Technical Summary

Problems solved by technology

[0002] In the quality inspection of bearings, most of the defects on the bearing surface are inspected manually. This method is greatly affected by human factors, and it is difficult to ensure accuracy and stability, and it is difficult for human eyes to distinguish small defects.

At present, there are also related researches on automatic detection of bearing parts, such as a bearing detection and sorting device based on machine vision disclosed in patent application number CN201510055773.4, but this research requires visual detection under static conditions, and due to the changeable test environment, The detection effect is yet to be verified

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