Insulator Defect Detection Method for Lightweight YOLOV3

WU Tao, WANG Weibin, YU Li, XIE Beimin, YIN Weiwei, WANG Hongyu

2019DOAJ (DOAJ: Directory of Open Access Journals)Computer Science被引 7

摘要

Insulators are an important part of transmission lines,and their normal operation directly affects the stable operation of the power grid.Therefore,intelligent insulator defect detection method is researched.The dataset is made by the aerial image of the drone,the K-means++ algorithm is used to determine the a priori frame,and an improved lightweight network is built based on the YOLOV3 detection architecture.Experimental results show that the method improves the image detection speed of high-definition insulators and can complete insulator positioning and defect detection.

引用本文（GB/T 7714）

WU Tao, WANG Weibin, YU Li, XIE Beimin, YIN Weiwei, WANG Hongyu. Insulator Defect Detection Method for Lightweight YOLOV3[J]. DOAJ (DOAJ: Directory of Open Access Journals), 2019.

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DOI：https://doi.org/10.19678/j.issn.1000-3428.0053695

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