Glass edge detection method and system based on machine vision

Abstract

The invention discloses a glass edge detection method and system based on machine vision, and the method comprises the steps: carrying out the extraction of a glass edge contour, carrying out the curvature smoothing processing of the extracted contour points, and carrying out the curvature upsampling processing, and respectively fitting the outer contour of the glass edge, defect detection for analyzing forms such as edge breakage, salient points and sawtooth cutting on the edge of the glass is realized. According to the method, the edge of the glass is segmented and extracted based on machine vision, and the defects of chipping corners, sawtooth edges, salient points and the like on the edge of the glass are quickly and stably found out through an edge analysis algorithm. The detection precision is high, the dimension specification is controllable, the labor cost is reduced, the performance is excellent, and the use is convenient.

Description

technical field [0001] The invention relates to a glass edge detection method and system based on machine vision, in particular to a method for abnormal edge detection. Background technique [0002] In recent years, with the rapid development of science and technology, the vigorous development of some 3C electronics industries and the automotive new energy industry, the production of glass products has undergone qualitative changes in terms of quality, variety, and production technology. Especially with the continuous development of production technology, high-end products have higher and higher quality requirements for glass substrates. [0003] In the prior art, in the manufacturing process of glass, the glass is first formed through the rolling process, and then cut to obtain the original glass sheet, but the appearance, size, shape, and quality of the original glass sheet cannot meet the user's assembly and use quality requirements , especially in intelligent industries...

AI Technical Summary

Problems solved by technology

This makes it necessary to perform edge grinding on the original glass sheet, and process the four edges of the original sheet and the places with radians. However, in the subsequent edge grinding process, defects such as edge chipping and chipping will occur. Such glass It is unqualified, and this kind of defective glass needs to be selected out. In the prior art, the edge defect detection of glass is mainly carried out by manual online detection, and the manual detection accuracy is low, and the missed detection rate High, manual inspection is easily affected by the subjective factors of inspectors, and it is easy to miss inspection of glass defects, especially for defects with small distortion. Workers are prone to visual fatigue, especially for night shifts, the stability is not high, and the labor cost is high

[0004] Therefore, the method of manual detection of glass edge defects is not well applicable to the rapid assembly line glass processing process in the prior art

Images