A review of deep learning-based defect detection and panel localization for photovoltaic panel surveillance system
As the photovoltaic (PV) systems expands globally, robust defect detection and precise localization technologies becomes crucial to ensure their operational efficiency. This review introduces an integrated deep learning framework that leverages Convolutional Neural Networks (CNNs), Recurrent Neural...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Association for Scientific Computing Electronics and Engineering (ASCEE)
2024
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| Online Access: | http://eprints.utem.edu.my/id/eprint/28458/2/0076224102024113911.pdf http://eprints.utem.edu.my/id/eprint/28458/ https://pubs2.ascee.org/index.php/IJRCS/article/view/1579 https://doi.org/10.31763/ijrcs.v4i4.1579 |
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