Research on Safety Helmet Detection Algorithm Based on Improved YOLOv5s

Research on Safety Helmet Detection Algorithm Based on Improved YOLOv5s

Safety helmets are essential in various indoor and outdoor workplaces, such as metallurgical high-temperature operations and high-rise building construction, to avoid injuries and ensure safety in production. However, manual supervision is costly and prone to lack of enforcement and interference fro...

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Autori principali: Qing An, Yingjian Xu, Jun Yu, Miao Tang, Tingting Liu, Feihong Xu
Natura: Articolo
Lingua:English
Pubblicazione: MDPI AG 2023-06-01
Serie:Sensors
Soggetti:
detection
YOLOv5
SIoU
combinatorial attention mechanisms
K-means++
knowledge distillation
Accesso online:https://www.mdpi.com/1424-8220/23/13/5824

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https://www.mdpi.com/1424-8220/23/13/5824

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