Liquid crystal screen defect on-line detection system for intelligent factory

Abstract

A liquid crystal screen defect online detection system for an intelligent factory comprises a data processing unit, an intelligent mobile unit, a visual detection unit, an intelligent storage unit and an intelligent visualization unit. The system is novel in structure and ingenious in conception, the device adopts a functional unit modular design, online detection of liquid crystal screen defects is facilitated, the reliability is high, the detection efficiency is high, adaptability is high, and popularization is facilitated; herein, the visual detection unit is built, wherein an image detection algorithm and visual positioning are used in cooperation with a robot, replacement of a person by a machine is achieved, the production efficiency is improved, the false detection rate is reduced, a map navigation model of an intelligent factory is built, and experience knowledge and a mathematical model are applied to actual motion condition analysis of the AGV. Therefore, the intelligent storage, intelligent carrying and visual detection of liquid crystal screen detection are realized by cooperating with a collaborative robot and an intelligent camera.

Description

technical field [0001] The invention relates to an on-line detection system, in particular to an on-line detection system for liquid crystal screen defects oriented to smart factories. Background technique [0002] With the rapid development of electronic equipment in recent years, the application of LCD screens in smart devices has become more and more extensive. The quality of LCD screens is directly related to the survival and development of enterprises. In the process of manufacturing LCD screens, quality problems inevitably occur. Among them, defect detection is an important part of the quality control of LCD screens, and its yield rate is directly related to the intelligent manufacturing level of the entire production line. Therefore, it is of great significance to study the online detection method of LCD screen defects for smart factories to improve the production efficiency of enterprises and promote the application of "machine substitution" in the production line. ...

AI Technical Summary

Problems solved by technology

Traditional manual detection methods mainly rely on human eye observation, low detection efficiency, strong subjectivity, poor robustness, and cannot meet uniform standards, prone to missed and false detections

With the further development of machine vision inspection technology, there are already relevant inspection methods to realize the inspection of LCD screen appearance and solder joints, but it is mainly carried out offline, and manual sorting of unqualified products cannot realize online inspection of intelligent assembly lines. needs, cannot meet the requirements of smart factories

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