Efficient Cell Segmentation from Electroluminescent Images of Single-Crystalline Silicon Photovoltaic Modules and Cell-Based Defect Identification Using Deep Learning with Pseudo-Colorization

Solar cells may possess defects during the manufacturing process in photovoltaic (PV) industries. To precisely evaluate the effectiveness of solar PV modules, manufacturing defects are required to be identified. Conventional defect inspection in industries mainly depends on manual defect inspection...

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Autors principals:	Horng-Horng Lin, Harshad Kumar Dandage, Keh-Moh Lin, You-Teh Lin, Yeou-Jiunn Chen
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2021-06-01
Col·lecció:	Sensors
Matèries:	electroluminescence image single-crystalline silicon photovoltaic module cell segmentation defect detection pseudo-colorization
Accés en línia:	https://www.mdpi.com/1424-8220/21/13/4292
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