RSP-YOLOv11n multi-module optimized algorithm for insulator defect detection in UAV images

The identification of insulator defects on transmission line insulators constitutes a pivotal undertaking in the context of UAV (Unmanned Aerial Vehicle) inspection, a process that is imperative to ensure the reliable functioning of transmission lines. A novel approach is proposed to mitigate missed...

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Vydané v:	Scientific reports Ročník 15; číslo 1; s. 35426 - 19
Hlavní autori:	Zheng, Bin, Angkawisittpan, Niwat, Huang, Lu, Sonasang, Somchat
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Nature Publishing Group UK 10.10.2025 Nature Publishing Group Nature Portfolio
Predmet:	639/166/987 639/705/258 Accuracy Algorithms Deep learning Defects Efficiency Humanities and Social Sciences Image processing Inspection Inspections Insulator defect detection multidisciplinary P2 detection head RSP-YOLOv11n Science Science (multidisciplinary) Transmission lines UAV inspection Weather China RSP-YOLOv11n UAV inspection Insulator defect detection P2 detection head
ISSN:	2045-2322, 2045-2322
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