Method for detecting defects of screen printing area of smart phone glass cover plate based on machine vision

Abstract

The invention discloses a method for detecting defects of a screen printing area of a smart phone glass cover plate based on machine vision. The method comprises the following steps of: collecting animage of a mobile phone screen; reading related parameter information; detecting a window; performing major defect extraction on the outline of the screen printing area of the mobile phone cover plate, dividing a detection area into the screen printing area, a hole and character area, a light band area and an interference area; obtaining the defects of each area; correcting the outline of the mobile phone cover plate to obtain the defect information of edge breakage; performing dotted, linear, and planar defect classification by using a neural network classifier; screening the defects according to the standard of defect definition; performing deep defect classification on the linear defects, IR hole defects, and character defects by using deep learning, wherein the linear defects comprisebroken filaments, scratches, IR hole defects, and the like; and counting the form information of various defects. The method can realize the universal application of various models, performs on-line adjustment according to different detection standards, and can quickly and accurately extracts defects such as pocking marks, broken filaments, scratches and dirt.

Description

technical field [0001] The invention relates to the field of visual detection, in particular to a machine vision-based visual detection method for defects in the screen printing area of ​​a glass cover plate of a smart phone. Background technique [0002] Glass cover has high hardness, high strength, scratch resistance, high transmittance and excellent impact resistance, etc. It is widely used in smart phones, tablet computers and other fields. Its application background is very broad. However, in the production process or transportation During the process, there will be some defects on the glass cover, which will reduce the quality of the product. These defects include defects such as pitting, scratches, dirt, edge chipping, wool and dust. Before the finished product, it is necessary to detect and identify these defects. According to the characteristics of different defects, the corresponding process is used to repair or scrap directly, so as to prevent these defective prod...

AI Technical Summary

Problems solved by technology

Although AOI equipment has many advantages, there are still many difficulties that need to be solved, such as the setting of detection standards, the reliability of the equipment is very dependent on the programming of the program, and the versatility of the product needs to be solved.

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