Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

On-line detection method of machine vision system to photovoltaic glass flaws

A machine vision system and photovoltaic glass technology, applied in instruments, measuring devices, scientific instruments, etc., can solve the problems of inability to guarantee product qualification rate detection quality, low monitoring speed, high labor intensity, etc., and achieve the effect of reducing inspection labor intensity.

Inactive Publication Date: 2010-04-21
WUXI ZHONGWANG 4D TECH
View PDF0 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the problems that the online detection of photovoltaic glass defects in the prior art relies on manual detection, workers are prone to visual fatigue, the labor intensity is high, the product qualification rate and detection quality cannot be guaranteed, and the monitoring speed is low. The present invention provides a machine vision system for The online detection method of photovoltaic glass defects greatly reduces the labor intensity of workers' detection, high detection accuracy and fast speed, and can effectively ensure the qualified rate of manufactured products

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
  • On-line detection method of machine vision system to photovoltaic glass flaws
  • On-line detection method of machine vision system to photovoltaic glass flaws
  • On-line detection method of machine vision system to photovoltaic glass flaws

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0036] Embodiment 1, detection of products with internal bubble defects:

[0037] Such as figure 1 The image of the internal air bubble defect shown, where the black part is the visual pattern formed by the internal air bubble.

[0038] Fix the Beijing Weishi 1800D industrial camera directly above the photovoltaic glass, the distance between the camera and the glass surface is 40cm, use the 5.5mm COMPUTAR manual zoom zoom lens, adjust the aperture to the maximum value, and adjust the exposure time to 0.58ms. The internal bubble detection accuracy is set to 0.1mm, and the normal bubble diameter of qualified products is set to 0.5mm. A special red LED background light source is used to irradiate from the bottom of the photovoltaic glass, and a semi-closed metal frame is used to obtain a relatively stable visual image, reflecting the obvious characteristics of bubbles inside the photovoltaic glass. The power supply of the display light source is constant voltage and constant cu...

Embodiment 2

[0043] Embodiment 2, detection of defective products with open air bubbles:

[0044] Such as figure 1 The image of the open bubble defect shown, in which the black oval part is the visual figure formed by the open bubble.

[0045]Fix the Beijing Weishi 1800D industrial camera directly above the photovoltaic glass, the distance between the camera and the glass surface is 40cm, use the 5.5mm COMPUTAR manual zoom zoom lens, adjust the aperture to the maximum value, and adjust the exposure time to 0.58ms. The opening bubble detection accuracy is set to 0.1mm, and the normal bubble diameter of qualified products is set to 0.2mm. A special red LED background light source is used to irradiate from the bottom of the photovoltaic glass, and a semi-closed metal frame is used to obtain a relatively stable visual image, reflecting the obvious characteristics of photovoltaic glass opening bubbles. The power supply of the display light source is constant voltage and constant current, whic...

Embodiment 3

[0050] Embodiment 3, to the detection of scratch defective product:

[0051] Such as image 3 The scratch defect image shown, where the black part is the visual pattern formed by the scratch.

[0052] Fix the Beijing Weishi 1800D industrial camera directly above the photovoltaic glass, the distance between the camera and the glass surface is 40cm, use the 5.5mm COMPUTAR manual zoom zoom lens, adjust the aperture to the maximum value, and adjust the exposure time to 0.58ms. The internal scratch detection accuracy is set to 0.1mm, and the normal scratch length of qualified products is set to 0.5mm. A special red LED background light source is used to irradiate from the bottom of the photovoltaic glass, and a semi-closed metal frame is used to obtain a relatively stable visual image, reflecting the obvious characteristics of photovoltaic glass scratches. The power supply of the display light source is constant voltage and constant current, which is a stable light source without...

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 discloses an on-line detection method of a machine vision system to photovoltaic glass flaws. The diameter of an in-built air bubble, the length of an open air bubble and the length of a nick are set as detection parameters; the detection precision and the qualified range of the different detection parameters are set according to the requirements of a user; a camera is started by outer triggering and control signals for shooting an image of on-line running photovoltaic glass in real time; the shot image is transmitted to a computer for detection; the computer is used for extracting an image with the photovoltaic glass with flaws by image algorithm processing and computing three flaw sizes to judge whether products are qualified products or discarded products by the computed flaw sizes; and two kinds of products are separated from different discharge holes by the outer triggering and control signals. The method has the advantages of high detection precision and high direction speed of the photovoltaic glass and can effectively ensure the qualified ratio of the products.

Description

technical field [0001] The invention relates to the technical field of on-line detection by using a machine vision system, in particular to a method for on-line detection of photovoltaic glass defects by using a machine vision system at a photovoltaic glass production site. Background technique [0002] On-line detection of defects in photovoltaic glass at the assembly line photovoltaic glass production workshop. In the prior art, the on-line detection of photovoltaic glass defects relies on manual use of special magnifying glasses for detection, and about 30 people are set up next to the photovoltaic glass production machine to detect and process special tools for photovoltaic glass defects, and the detection results are classified into qualified products (such as Internal bubble diameter < 0.5mm, and open bubble length < 0.2mm, and scratch length < 0.5mm, and no other defects) and unqualified products (such as internal bubble diameter ≥ 0.5mm, or open bubble lengt...

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
IPC IPC(8): G01N21/896G01B11/08G01B11/24B07C5/34
Inventor 董仲伟
Owner WUXI ZHONGWANG 4D TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com