Battery piece chromatism selection control method based on color machine vision

A machine vision, color difference selection technology, applied in the direction of instruments, image analysis, image data processing, etc., can solve problems such as poor real-time performance, slow speed, low precision, etc., to achieve the effect of solving problems and difficulties

Inactive Publication Date: 2015-04-29
HANGZHOU COMFIRMWARE TECH CO LTD
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  • Summary
  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the problems of slow speed, low precision and poor real-time performance of manual detection of cells, the present invention proposes a cell color difference sorting control method based on color machine vision

Method used

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  • Battery piece chromatism selection control method based on color machine vision
  • Battery piece chromatism selection control method based on color machine vision
  • Battery piece chromatism selection control method based on color machine vision

Examples

Experimental program
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Effect test

Embodiment 1

[0031] (1) The feeding mechanism transfers the battery sheet to the grabbing station, and places the battery sheet on the conveyor belt through the grabbing suction cup. When it reaches the shooting station, the industrial camera is triggered to take a color picture of it.

[0032] (2) Carry out filter processing on the photographed pictures, use the canny edge detection method to detect the contour of the image, fit the straight line, and extract the effective image.

[0033] Convert the RGB value of the effective picture to the HSI color space through formulas (1) to (3):

[0034] H = ar cos { ( R - G ) + ( R + B ) 2 ( ...

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Abstract

The invention discloses a battery piece chromatism selection control method based on color machine vision. Aiming at whity pieces, yellowing pieces, aglow pieces, white spots and fingerprints in defective products, the method adopts a color segmentation method to set image segmentation threshold according to 3 parameters which are hue (H), saturation (S) and intensity (I) in HSI color space, adopts a statistical histogram algorithm to analyze gray level images according to the color HIS space principle, and makes statistics on the gray value of each block of image; required main parameters in a system are the average gray-value and variance in a region; making statistics on the average gray-values of all region is mainly used for computing the variance of the average gray-values of all regions; making statistics on the variance is mainly used for setting a threshold value; the gray value fluctuation of the region is small, so that the detection classification on colors of products through color machine vision analysis is achieved, and the problems and difficulty caused by manual operation are effectively solved.

Description

technical field [0001] The invention belongs to the technical field of machine vision detection, and relates to a control method for color difference recognition of solar cells, in particular to a color difference sorting control method for cells based on color machine vision. Background technique [0002] Among new energy sources, solar energy has the advantages of being clean, non-polluting and inexhaustible. Cells are an important technical basis for converting solar energy into electrical energy. However, the production process of solar cells is complicated, which leads to the production of cells with different colors, and the color is uneven, which affects the photoelectric conversion efficiency of the cells, and when solar cells with different conversion efficiencies are used together, the overall energy consumption will be reduced. Therefore, in the last process of production, the cells need to be classified according to the same conversion efficiency and the same col...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
CPCG06T7/0004G06T7/12G06T7/90G06T2207/10024G06T2207/30148
Inventor 陈旭东
Owner HANGZHOU COMFIRMWARE TECH CO LTD
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