BIRD DROPPINGS COVERAGE DETECTION OF PHOTOVOLTAIC MODULE BASED ON TRANSFER LEARNING

Li Qiong; Wu Wenbao; Liu Bin; Liu Jun

doi:10.19912/j.0254-0096.tynxb.2020-1398

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Acta Energiae Solaris Sinica ›› 2022, Vol. 43 ›› Issue (2) : 233-237. DOI: 10.19912/j.0254-0096.tynxb.2020-1398

BIRD DROPPINGS COVERAGE DETECTION OF PHOTOVOLTAIC MODULE BASED ON TRANSFER LEARNING

Li Qiong¹, Wu Wenbao², Liu Bin¹, Liu Jun¹

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Abstract

In this paper, based on the visible light image acquisition of photovoltaic（PV） panel by using unmanned aerial vehicle, a bird droppings detection method of photovoltaic panel based on transfer learning is proposed. Firstly, the boundary of PV panel is selected based on Mask-RCNN, and then the bird droppings defect detection model of PV panel was constructed by using transfer learning strategy to realize intelligent detection of bird droppings. Using the above method, the detection accuracy of bird droppings coverage of PV panel is 96.75%.

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transfer learning / photovoltaic modules / Mask-RCNN / defect detection

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Li Qiong, Wu Wenbao, Liu Bin, Liu Jun. BIRD DROPPINGS COVERAGE DETECTION OF PHOTOVOLTAIC MODULE BASED ON TRANSFER LEARNING[J]. Acta Energiae Solaris Sinica. 2022, 43(2): 233-237 https://doi.org/10.19912/j.0254-0096.tynxb.2020-1398

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