Deep learning-based model for defect detection and localization on photovoltaic panels

HIGHLIGHTS

  • who: S. Prabhakaran from the Department of Computational Intelligence, SRM Institute of and Technology, Chengalpattu, India have published the research: Deep Learning-Based Model for Defect Detection and Localization on Photovoltaic Panels, in the Journal: (JOURNAL)
  • what: By considering all these, in this article, an efficient RMVDM is presented.
  • how: The detailed approach is presented in the next section. To detect defects on residential solar panels the UV Fluorescence image-based approach is presented which detects hotspots cracked cells junction box defects and erosion defects. To support the detection in outdoor environments conditions . . .

     

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