Solar cell panel surface defect automatic detection system

Abstract

The invention discloses a solar cell panel surface defect automatic detection system, and relates to the technical field of solar cell panel detection. The solar cell panel surface defect automatic detection system comprises a conveying module, a signal trigger module, a light source module, an image acquisition module, a control module, an execution module and an image processing module, wherein thesignal trigger module is arranged in theconveying module, the light source module and the image acquisition module are located above the signal triggering module, and the image acquisition module, the control module and the execution module are respectively connected with the image processing module. According to the invention, the currently collected to-be-detected image is subjected to image processing by utilizing machine vision, defect identification is carried out according to the extracted characteristic parameters, and then the characteristic parameters are transmitted to the execution module for position correction and sorting processing, so that not only is the working efficiency high, but also the cost is low, the performance is stable and the operation is convenient; and automatic detection of surface defects of the solar cell panel is realized.

Description

technical field [0001] The invention relates to the technical field of solar battery panel detection, in particular to an automatic detection system for surface defects of solar battery panels. Background technique [0002] The core component of the solar power generation system is the solar panel, which is a photoelectric semiconductor sheet that uses solar energy to generate electricity directly. The main material of most solar panels is "silicon". There are high quality requirements for its appearance and size in the manufacturing process. Due to the existence of unstable factors such as mechanical stress and thermal stress, it will inevitably cause surface defects of solar panels such as cracks and missing corners. These The existence of defects will greatly reduce the photoelectric conversion efficiency of solar panels. [0003] The traditional manual detection method to detect surface defects of solar panels has certain limitations, such as the shortcomings of human e...

AI Technical Summary

Problems solved by technology

The block hough transform is flexibly used to search for local cracks, which avoids the mutual interference of different traces in the image, and then the crack shape evaluation is used to synthesize the results of the block hough transform, and the task of crack detection of the battery board is completed, but it still has certain limitations Sexuality, and relatively low efficiency, and large product loss

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