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Normal projection method applied to battery piece black corner detection

A technology of line projection and cells, which is applied in the field of solar cell preparation technology, can solve the problems of missed detection or false detection, difficult to separate black corners, and black corners are not obvious, etc., to achieve the effect of ensuring accuracy

Inactive Publication Date: 2018-08-24
SUZHOU JUNENG IMAGE INSPECTION TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The disadvantage of this method is that some black corners are not obvious, and it is difficult to segment the complete black corner parts, resulting in missed or false detections

Method used

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  • Normal projection method applied to battery piece black corner detection
  • Normal projection method applied to battery piece black corner detection
  • Normal projection method applied to battery piece black corner detection

Examples

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Embodiment

[0037] see figure 2 , This embodiment shows a method for detecting black corners of cells. First, the cell is positioned, and the center of the cell and the center of the image are coincident to facilitate projection and mask (cover) images. In order to make the projected curve better reflect the characteristics of black corners, other defects need to be shielded, that is, not to participate in the projection. Then start with the fixed point of the angle and project the normal direction inward along 45 degrees or 135 degrees. Convert the two-dimensional signal into a one-dimensional curve for analysis; then perform feature extraction on the curve. Finally, analyze the characteristics to determine whether there is a black corner defect.

[0038] Specific steps are as follows:

[0039] A method for detecting the black corner of a cell, comprising the steps of:

[0040] S1) Alignment: move the cell to the center of the image;

[0041] S2) Eliminate other interference;

[0...

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Abstract

The invention discloses a normal projection method applied to battery piece black corner detection. The method specifically comprises the steps of eliminating other interferences and carrying out normal projection, wherein the step of eliminating other interferences comprises the following sub-steps of: D1) taking four corners at the ends; D2) projecting each corner into an image in a normal direction along 45 degrees or 135 degrees; D3) normalization: normalizing curves by using an effective pixel number as effective pixels in each normal direction are not completely the same; and D4) enabling the upper left curve and the upper right curve to go upward slowly from lower parts, and enabling the lower left curve and the lower right curve to be located at the upper parts without obvious laws. According to the method, contents of images can be reflected via normal projection.

Description

technical field [0001] The present invention relates to a solar cell preparation process, specifically, it shows a normal line projection method applied to the black corner detection of the cell. Background technique [0002] With the continuous development of society, the demand for energy continues to increase, which leads to the gradual depletion of non-renewable energy. At the same time, due to the irrational use of energy by human beings, environmental problems continue to worsen, and the problem of global warming is particularly prominent, which has seriously threatened the survival and development of human beings. Solar photovoltaic power generation has become one of the important directions for the development of new energy because it is clean, non-polluting, safe and reliable, easy to install, and can be well integrated with buildings. Converting solar energy into electrical energy requires solar photovoltaic modules. Photovoltaic modules are composed of many solar...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G01N21/88
CPCG01N21/8851G01N2021/8829G01N2021/8854G01N2021/8887G06T7/0004G06T2207/30148
Inventor 李华超王小彬
Owner SUZHOU JUNENG IMAGE INSPECTION TECH
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