Electronic display glass cover plate surface defect detection system and method

Abstract

The invention discloses an electronic display glass cover plate surface defect detection system and method. The novel detection system comprises a structured illumination device, a lens, an image acquisition device and a processing device. The lens is arranged between the structured illumination device and a surface to be detected so that the highest degree of modulation of imaging of the surface to be detected is obtained and the accuracy of the detection result is improved. The scheduling distribution obtained by a phase shift method is used to directly show the defect information of the surface to be detected, and the image is processed by the scheduling distribution map so that binarization defect information of the detected surface is obtained. The detection method is insensitive to the ambient light, is simple and practical, can quickly acquire the surface defect distribution of the glass cover plate, is especially suitable for the field of an electronic display screen and can be used to detect the defects of the planar mirror and the planar mirror-like object.

Description

technical field [0001] The invention specifically relates to a system and method for detecting surface defects of a glass cover plate of an electronic display screen. Background technique [0002] Glass is more and more widely used in electronic display screens, such as protective glass (ie, glass cover) for TVs, laptops, pads, mobile phones, etc. At present, for the surface detection of glass cover plates, the human eye detection method is mostly used on the production line, supplemented by tools such as microscopes and magnifying glasses, but the human eye detection method itself has shortcomings and limitations: because the human eye detects the surface under strong light Defects are not only inefficient, but also affected by subjective factors. People with different eyesight will have large differences in the test results, and there is a lack of unified judgment standards. In addition, due to the influence of the working environment, inspectors are prone to misjudgments ...

AI Technical Summary

Problems solved by technology

At present, for the surface detection of glass cover plates, the human eye detection method is mostly used in the production line, supplemented by tools such as microscopes and magnifying glasses, but the human eye detection method has its own shortcomings and limitations: because the human eye detects under strong light Defects are not only inefficient, but also affected by subjective factors. People with different eyesight will have large differences in the test results, and there is a lack of unified judgment standards. In addition, due to the influence of the working environment, inspectors are prone to misjudgments or missed inspections due to fatigue happened

Therefore, how to improve the method of detecting surface defects of glass cover plates has become a bottleneck restricting the development of enterprises and improving enterprise benefits

Images