Glass defect detection method, system and equipment

A glass detection and glass technology, used in measuring devices, material analysis by optical means, instruments, etc., can solve problems such as low accuracy and slow detection speed

Inactive Publication Date: 2021-09-10
深圳市英视自动化科技有限公司
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the technical problems that the current glass defect detection is mostly manual detection, the detection speed is slow and the detection accuracy is low, the present invention provides a glass defect detection method, system and equipment

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Glass defect detection method, system and equipment
  • Glass defect detection method, system and equipment
  • Glass defect detection method, system and equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] In order to make the purpose, technical solutions and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the accompanying drawings and implementation examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0037] see figure 1 , the first embodiment of the present invention provides a glass defect detection method, comprising the following steps:

[0038] Step S1: Obtain photos of each surface of the glass;

[0039] It can be understood that obtaining photos of each surface can analyze and detect glass defects from multiple angles, increase the number of samples to be inspected, and conduct inspections from multiple samples to avoid inspection errors and improve inspection accuracy.

[0040] Step S2: Establish a plane coordinate system for each surface photo of the glass, obtain coo...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a glass defect detection method, system and equipment. The glass defect detection method comprises the following steps: S1, obtaining photos of each surface of glass; s2, establishing a plane-coordinate system for each surface picture of the glass, acquiring a coordinate image, and identifying and screening the glass with appearance defects; s3, graying the images, setting a gray threshold, screening the images exceeding the threshold range as defect photos to be identified, and obtaining grayed photos; s4, enabling the pixel points of the grayed photo to correspond to the coordinate values of the grayed photo, and obtaining the color information of the pixelated photo; and S5, comparing the color information of the pixelated photo of adjacent pixels of each graying photo, judging the pixel coordinate set of the defect position, and obtaining the coordinate set of the defect position. The defect of the glass can be accurately found through graying and color information comparison, and the defect position is corresponded through the coordinate so that the detection process is simplified, the detection accuracy is improved, manual detection is avoided, and the false detection rate is reduced.

Description

technical field [0001] The invention relates to the field of image detection, in particular to a glass defect detection method, system and equipment. Background technique [0002] During the production process of glass sheets, various defects are prone to occur, such as air bubbles, scratches, stones, inclusions, warping and other problems. When defective glass enters expensive equipment, it may break and damage the equipment, or affect product quality. Therefore, it is necessary to detect defects on glass to improve glass quality and production efficiency. Traditional glass defect detection is usually manual inspection. [0003] However, in the existing glass defect detection, most of them are manual detection, the detection speed is slow and the detection accuracy is low. Contents of the invention [0004] In order to overcome the technical problems that the current glass defect detection is mostly manual detection, the detection speed is slow and the detection accurac...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/958
CPCG01N21/958
Inventor 杜丽赵娟彭向前杜欢
Owner 深圳市英视自动化科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap