Machine vision-based method for detecting and sorting polycrystalline silicon solar energy

A machine vision and polysilicon technology, applied in sorting and other directions, can solve problems such as low efficiency and unguaranteed accuracy, and achieve the effect of improving detection speed and reducing detection labor intensity

Inactive Publication Date: 2013-03-20
SOUTH CHINA UNIV OF TECH
View PDF3 Cites 38 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The sorting of colors is mainly through the human eye, which is not only inefficient but also has no guarantee of accuracy.

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
  • Machine vision-based method for detecting and sorting polycrystalline silicon solar energy
  • Machine vision-based method for detecting and sorting polycrystalline silicon solar energy
  • Machine vision-based method for detecting and sorting polycrystalline silicon solar energy

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0058] like Figure 14 As shown, the method for detecting and sorting polysilicon solar energy based on machine vision in the present invention, the steps are as follows:

[0059] 1) Let the polycrystalline silicon solar cell pass through the image collection area, and the corresponding image is collected by the CCD camera;

[0060] 2) Perform image preprocessing on the image collected in step 1); image preprocessing includes: image extraction, grayscale processing, image noise filtering, image enhancement, edge detection, and solar cell positioning;

[0061] 3) Then perform image recognition, compare the parameters of the polycrystalline silicon solar cell collected in step 2) with the template, measure the image similarity, and perform color classification, thereby realizing color sorting.

[0062] The image preprocessing in the above step 2) specifically includes the following steps:

[0063] 2-1) Image extraction

[0064] According to the comparison between the set temp...

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 a machine vision-based method for detecting and sorting polycrystalline silicon solar energy. The method comprises the following steps of: 1) allowing a polycrystalline silicon solar cell to pass through an image acquisition area, and acquiring a corresponding image through a charge coupled device (CCD) camera; 2) performing image preprocessing on the acquired image, wherein the image preprocessing comprises image extraction, gray processing, image noise filtering, image enhancement, edge detection and solar cell positioning; and 3) performing image recognition, comparing the parameters of the polycrystalline silicon solar cell acquired in the step 2) with a template, performing image similarity measurement, performing color classification to sort the colors. The grey level histogram of the polycrystalline silicon solar cell is analyzed and is compared with a standard sample image for calculation to obtain the standard deviation of the histogram distribution, and a classification decision is made through the obtained standard deviation. Through the proving of the experiment proves, the method has the advantages that the detection speed is high and the accuracy is high and the detection requirements can be met.

Description

technical field [0001] The invention relates to a sorting method according to the quality of polycrystalline silicon solar energy, in particular to a method for detecting and sorting polycrystalline silicon solar energy based on machine vision. Background technique [0002] As a green new energy in the 21st century, solar energy is now widely used and developing rapidly in many fields. The current main solar energy conversion tool - polycrystalline silicon solar cells have the advantages of high conversion efficiency, low cost, and long life; however, the production process of polycrystalline silicon solar cells is complicated, resulting in different colors of silicon wafers, and color inhomogeneity, which affects the cells. Visual effects that affect the customer experience. Therefore, cells of the same color need to be sorted in the last process of production. [0003] At present, test sorting mainly classifies solar cells of different colors by simulating solar light ir...

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): B07C5/342
Inventor 欧阳高飞孙海杰林俊强李涛李铮涛
Owner SOUTH CHINA UNIV OF TECH
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