Polysilicon solar battery piece appearance contamination defect detection method

Abstract

The invention provides a polysilicon solar battery piece appearance contamination defect detection method. The method mainly comprises two steps, wherein the first step comprises pretreatment of a battery piece and acquisition of an interested region, and the subsequent operations are performed by taking the first step as the foundation; and the second step comprises recognizing and marking of thecontamination regions. Pretreatment comprises the steps of dividing collected three-channel images into R channel images, G channel images and B channel images, and selecting the R channel images with relatively high defect and background comparison degree for performing subsequent treatment; performing smoothening treatment on the selected R channel images, suppressing interference from image noise and high frequency components, next, performing rotary correction operation on the images, enabling the image edges to be parallel to a coordinate system, next, performing fixed threshold value image cutting, setting upper and lower critical values according to the area, and removing interference from a conveyor belt region on the image processing; and next, performing morphology closed-loop operation on the images, removing small sized black holes generated by insufficient threshold value cutting, and finally realizing polysilicon solar battery piece appearance contamination defect detection.

Description

technical field [0001] The invention relates to the technical field of photovoltaic cell detection, and mainly relates to a method for detection of appearance dirt defects of polycrystalline silicon solar cells. Background technique [0002] The application of photovoltaic power generation is becoming more and more widespread. According to research, starting from 2030, solar photovoltaic power generation will increase by more than 10% every ten years in the world's total power supply, and by the end of the 21st century, renewable energy will account for more than 80% of the energy structure. , solar power generation accounted for more than 60%, solar power generation shows an important strategic significance. The production process of polycrystalline silicon solar cells is complicated, and various defects are prone to appear in the production process. After these defective cells are assembled, they not only affect the overall appearance, but also have a great impact on the e...

AI Technical Summary

Problems solved by technology

[0003] Existing defect detection methods mainly rely on traditional manual naked eye detection, which will be affected by subjectivity and visual fatigue, which will easily cause missed detection, false detection, and low efficiency. With the labor cost, the production cost of the enterprise will also increase

Because polysilicon cells are affected by their own crystal lattice, the image texture on the surface is uneven, and defect feature extraction is difficult, which causes great troubles to the current defect detection. Therefore, the use of machine vision to detect cell defects has not been widely promoted.

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