Novel technique improves micro crack detection in solar cells using electroluminescence imaging and Fourier transforms.
In this article, we present the development of a novel technique that is used to enhance the detection of micro cracks in solar cells. Initially, the output image of a conventional electroluminescence (EL) system is determined and reprocessed using the binary and discreet Fourier transform (DFT) image processing models. The binary image is used to enhance the detection of the cracks size, position and orientation, principally using the geometric properties of the EL image. On the other hand, the DFT has been used to analyse the EL image in a two-dimensional spectrum. The output image of the DFT consists of structures of all required frequencies, thus improving the detection of possible cracks present in the solar cell. As a result, the developed technique improves the detection of micro cracks in solar cells compared to conventional EL output images. • Solar cell micro crack detection technique is proposed. • Conventional Electroluminescence (EL) is used to inspect the solar cell cracks. • The techniques is based on a Binary and Discreet Fourier Transform (DFT) image processing models. • Maximum detection and image refinement speed of 2.52s has been obtained.
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Dhimish et al. (2019) studied this question.
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