Solar cell sorting method and system based on machine vision

A technology of solar cells and machine vision, applied in the field of solar photovoltaics, can solve the problems of unable to sort out cells and detect solar cells, and achieve the effects of ensuring accuracy, reducing labor costs, and reducing damage

Active Publication Date: 2016-12-21
广东佛智芯微电子技术研究有限公司
View PDF8 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For example, a color difference automatic sorting device for solar cells disclosed in the application document CN203292095U detects whether there is a color difference between the cells according to multiple sensors, and sorts the ones that meet the requirements; The method for automatic detection and sorting of cells and the detec

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
  • Solar cell sorting method and system based on machine vision
  • Solar cell sorting method and system based on machine vision
  • Solar cell sorting method and system based on machine vision

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0035] Embodiment 1: as figure 1 As shown, a sorting method for solar cells based on machine vision includes:

[0036] Step 1: Cell color difference detection initialization operation and collect the image of the cell to be sorted, and convert the collected image into LAB format, wherein the image in LAB mode has more colors and has better results; the initialization operation includes standard sheet collection , use industrial cameras to collect images of various color standard sheets of cells; image conversion, convert the images into LAB format; data calculation and storage, calculate and store the average value of LAB three-component images of various color standard sheets.

[0037] The color image is obtained by the imaging system, and the image is converted into the LAB color space. The L component in the LAB color space is used to represent the brightness of the pixel. The value range is [0,100], which means from pure black to pure white; A means from red to The range ...

Embodiment 2

[0056] Embodiment 2: as figure 2 As shown, a machine vision-based solar cell sorting system includes:

[0057] Image acquisition module: used to collect digital images of solar cell labels and solar cells to be sorted;

[0058] Image processing module: used to analyze and process the color difference of the digital image collected by the image acquisition module; detect whether the color in the solar cell is uniform, and then calculate the color difference value between the cell with uniform color and the cell standard sheet, and judge The color category of the cell;

[0059] Sorting control module: receive the color data obtained by the image processing module, and control the delivery module to sort the solar cells;

[0060] Transport module: receive the signal from the sorting control module, and control the transport device to transport solar cells;

[0061] The signals among the image acquisition module, the image processing module, the sorting control module and the ...

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 relates to a solar cell color difference sorting method and system based on machine vision. The solar cell color difference sorting method comprises the steps of collecting images of to-be-sorted cells; dividing the images into a plurality of subimages which are crossed vertically and horizontally, calculating an LAB three-component average value of each subimage and color difference values between the subimages, and finding out the maximal color difference value of the subimages; judging whether the maximal color difference value is greater than a set threshold, if the maximal color difference value is greater than a set threshold, cell colors are not uniform, a detection result is directly output and is sent to a sorting control module for the next operation, and image processing is finished; if the maximal color difference value is not greater than the set threshold, the cell colors are uniform, and the color difference between a to-be-tested image and each standard image is calculated according to the LAB three-component average values of the to-be-sorted images and different colors of standard images so as to judge the color type of the cells. According to the solar cell color difference sorting method, the automatic solar cell color difference sorting is realized, and the sorting quality and efficiency are increased.

Description

technical field [0001] The invention relates to the field of solar photovoltaics, in particular to a machine vision-based color difference sorting system for solar cells. Background technique [0002] There will be a coating process in the production process of solar cells, and the difference in the coating process will lead to differences in the color of the cells. In the existing solar photovoltaic industry, there are not only color differences inside the cells, but also color differences between the cells. The chromatic aberration problem of the cells is particularly serious, leading to an increasing number of customer complaints. In order to solve this problem, the solar cells are generally inspected and analyzed manually, and the cells with color difference in the sorting place; but this process consumes too much human resources, the accuracy of manual inspection is not high, and manual long-term inspection will cause fatigue and affect the sorting effect. , Poor sorti...

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): B07C5/342
CPCB07C5/342B07C2301/0008
Inventor 黄坤山周艳红杨海东王华龙彭博
Owner 广东佛智芯微电子技术研究有限公司
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