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System for realizing automatic detection of electronic glass defects

A technology for automatic detection of glass defects, applied in measuring devices, image data processing, material analysis through optical means, etc., can solve the problems of workers' easy visual fatigue, glass defect missed detection, low stability, etc., and improve detection accuracy and glass quality, reduce testing costs, and enhance the effect of automation

Inactive Publication Date: 2015-02-18
CNBM TRIUMPH ROBOTICS SHANGHAI CO LTD
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AI Technical Summary

Problems solved by technology

[0005] At present, glass defect detection mainly uses manual online detection. The manual detection accuracy is about 0.2mm, and the missed detection rate is about 3%. Defects with small distortion are missed, workers are prone to visual fatigue, especially in night shifts, the stability is not high, and the labor cost is high

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  • System for realizing automatic detection of electronic glass defects
  • System for realizing automatic detection of electronic glass defects
  • System for realizing automatic detection of electronic glass defects

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Embodiment Construction

[0030] In order to describe the technical content of the present invention more clearly, further description will be given below in conjunction with specific embodiments.

[0031] see figure 1 , in one embodiment, the system for realizing the automatic detection of electronic glass defects of the present invention includes:

[0032] camera module, in order to obtain the image of described electronic glass;

[0033] The defect detection module is used to obtain several segmented objects by analyzing the image of the electronic glass, and perform defect location processing and defect classification processing on each segmented object to obtain the defect type of each segmented object;

[0034] The display module is used for displaying the defect type information of each segmented object.

[0035] In a preferred embodiment, the defect detection module includes a defect classification unit, and the defect classification unit is used to calculate each of the segmented objects thr...

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Abstract

The invention relates to a system for realizing automatic detection of electronic glass defects. The system comprises a photographing module, a defect detecting module and a display module, wherein the photographing module is used for acquiring an image of electronic glass; the defect detecting module is used for analyzing the image of the electronic glass to obtain a plurality of divided objects and treating each divided object by a defect location process and a defect classification process to obtain defect type of each divided object; the display module is used for displaying the information of the defect type of each divided object. By adopting the system for realizing the automatic detection of the electronic glass defects, the detection efficiency for the electronic glass is improved, waste of labor is reduced, the detection cost is lowered, the detection accuracy and the glass quality are improved, automation degree of an enterprise is increased, large-scale popularization of an automatic glass detection system is facilitated, and the system has a relatively wide application range.

Description

technical field [0001] The invention relates to the field of visual image detection, in particular to the field of electronic glass quality detection, in particular to a system for realizing automatic detection of electronic glass defects. Background technique [0002] Machine vision is the use of machines instead of human eyes for measurement and judgment. The machine vision system refers to converting the ingested target into an image signal through machine vision products, sending it to a dedicated image processing system, and converting it into a digital signal according to pixel distribution, brightness, color and other information; the image system performs various operations on these signals To extract the characteristics of the target, and then control the on-site equipment action according to the result of the discrimination. [0003] Machine vision is a comprehensive technology, including digital image processing technology, mechanical engineering technology, cont...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/958G06T7/00
Inventor 张艳搏吕宏伟
Owner CNBM TRIUMPH ROBOTICS SHANGHAI CO LTD
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