Research on Defect Detection Technology for Photovoltaic Panels Based on Infrared Thermal Imaging
With the rapid development of the photovoltaic industry,rapid detection of abnormalities in photovoltaic panels has become a key element in improving inspection efficiency.However,traditional defect detection methods for photovoltaic panels have problems such as low efficiency and poor detection results.This article proposes a photovoltaic panel defect detection technology based on infrared thermal imaging,analyzes the principle of infrared detection technology for photovoltaic panel defect detection,and achieves intelligent detection of photovoltaic panel defects by introducing SENet attention to YOLOV4 network,
Deep learningdefect detectionphotovoltaic power generationattention mechanism
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