Solar panel defect detection design based on YOLO v5 algorithm

Defects of solar panels can easily cause electrical accidents. The YOLO v5 algorithm is improved to make up for the low detection efficiency of the traditional defect detection methods. Firstly, it is improved on the basis of coordinate attention to obtain a LCA attention mechanism with a larger tar...

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Detalles Bibliográficos
Autores principales: Huang, Jing, Zeng, Keyao, Zhang, Zijun, Zhong, Wanhan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10415890/
https://www.ncbi.nlm.nih.gov/pubmed/37576324
http://dx.doi.org/10.1016/j.heliyon.2023.e18826

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10415890/
https://www.ncbi.nlm.nih.gov/pubmed/37576324
http://dx.doi.org/10.1016/j.heliyon.2023.e18826

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