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Found 3 papers, 1 papers with code
SIGAN: A Novel Image Generation Method for Solar Cell Defect Segmentation and Augmentation
Moreover, we release a new solar cell EL image dataset named as EL-2019, which includes three types of images: crack, finger interruption and defect-free.
BAF-Detector: An Efficient CNN-Based Detector for Photovoltaic Cell Defect Detection
Finally, the experimental results on a large-scale EL dataset including 3629 images, 2129 of which are defective, show that the proposed method achieves 98. 70% (F-measure), 88. 07% (mAP), and 73. 29% (IoU) in terms of multi-scale defects classification and detection results in raw PV cell EL images.
Solar Cell Surface Defect Inspection Based on Multispectral Convolutional Neural Network
Similar and indeterminate defect detection of solar cell surface with heterogeneous texture and complex background is a challenge of solar cell manufacturing.
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