Research on multi-defects classification detection method for solar cells based on deep learning

Solar cells are playing a significant role in aerospace equipment. In view of the surface defect characteristics in the manufacturing process of solar cells, the common surface defects are divided into three categories, which include difficult-detecting defects (mismatch), general defects (bubble, g...

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Veröffentlicht in:	PloS one 2024-06, Vol.19 (6), p.e0304819
Hauptverfasser:	Li, Zhenwei, Zhang, Shihai, Qu, Chongnian, Zhang, Zimiao, Sun, Feng
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Biology and Life Sciences Boxes Cameras Classification Computer and Information Sciences Datasets Deep Learning Defective products Defects Efficiency Engineering and Technology Frames per second Gallium arsenide Image Processing, Computer-Assisted - methods Labels Lightweight Machine learning Manufacturing industry Methods Object recognition Optimization Optimization models Photovoltaic cells Physical Sciences Research and Analysis Methods Silicon Solar batteries Solar cells Solar Energy Surface defects Weight reduction
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