Deep learning in defects detection of PV modules: A review

Deep learning in defects detection of PV modules: A review

Identifying defects in photovoltaic (PV) modules is essential for ensuring optimal performance and prolonging their operational lifespan. Traditional manual inspection methods are time-consuming, labor-intensive, and subject to human error, necessitating the development of automated, efficient detec...

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Bibliographic Details
Main Authors: Katleho Masita, Ali Hasan, Thokozani Shongwe, Hasan Abu Hilal
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Solar Energy Advances
Subjects:
PV module
Solar
Drone
Deep learning
Defects detection
Online Access:http://www.sciencedirect.com/science/article/pii/S2667113125000038
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