YOLO-DCRCF: An Algorithm for Detecting the Wearing of Safety Helmets and Gloves in Power Grid Operation Environments

Safety helmets and gloves are indispensable personal protective equipment in power grid operation environments. Traditional detection methods for safety helmets and gloves suffer from reduced accuracy due to factors such as dense personnel presence, varying lighting conditions, occlusions, and diver...

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Библиографические подробности

Главные авторы:	Jinwei Zhao, Zhi Yang, Baogang Li, Yubo Zhao
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2025-09-01
Серии:	Journal of Imaging
Предметы:	YOLOv11 safety helmet and glove wearing detection deformable convolutional network recalibration feature pyramid network
Online-ссылка:	https://www.mdpi.com/2313-433X/11/9/320
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