ID-YOLO: A Multimodule Optimized Algorithm for Insulator Defect Detection in Power Transmission Lines

Insulators play a crucial role in providing electrical isolation in power transmission lines, and timely detection of their defects is vital to avoid severe human life and property losses. In the context of drone inspections of power transmission lines, accurate and timely detection and localization...

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Vydané v:	IEEE transactions on instrumentation and measurement Ročník 74; s. 1 - 11
Hlavní autori:	Zhang, Qiang, Zhang, Jianing, Li, Ying, Zhu, Changfei, Wang, Guifang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Computer architecture Convolution Data integration Data mining Defect detection Defects Feature extraction feature fusion Frames per second insulator defect (ID) Insulators Localization Location awareness Modules Object recognition Power lines Power transmission lines Real time real-time detection YOLO you only look once (YOLO)
ISSN:	0018-9456, 1557-9662
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