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MCA-YOLOV5-Light: A Faster, Stronger and Lighter Algorithm for Helmet-Wearing Detection

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成果类型:
期刊论文
作者:
Sun, Cheng;Zhang, Shiwen;Qu, Peiqi;Wu, Xingjin;Feng, Peng;...
通讯作者:
Ying Wang
作者机构:
[Sun, Cheng] Hunan Normal Univ, Sch Math & Stat, Changsha 410081, Peoples R China.
[Zhang, Jin; Sun, Cheng] Hunan Normal Univ, Key Lab Comp & Stochast Math, Minist Educ, Changsha 410081, Peoples R China.
[Qu, Peiqi; Zhang, Jin; Wu, Xingjin; Zhang, Shiwen] Hunan Normal Univ, Coll Informat Sci & Engn, Changsha 410081, Peoples R China.
[Zhang, Jin; Feng, Peng] Changsha Univ Sci & Technol, Sch Comp & Commun Engn, Changsha 410114, Peoples R China.
[Zhang, Jin; Tao, Zhanya] Hunan Leran Intelligent Technol Ltd, Changsha 410221, Peoples R China.
通讯机构:
[Ying Wang] S
School of Humanities and Management, Hunan University of Chinese Medicine, Changsha 410208, China
语种:
英文
关键词:
helmet-wearing detection;YOLOv5;attention mechanism;model pruning
期刊:
Applied Sciences-Basel
ISSN:
2076-3417
年:
2022
卷:
12
期:
19
基金类别:
Scientific and Technological Progress and Innovation Program of the Transportation Department of Hunan Province [201927]; National Defense Basic Scientific Research Project of State Administration of Science, Technology and Industry for National Defence [WDZC20205500119]; Natural Science Foundation of Hunan Province [2021JJ30456]; Open Research Project of the State Key Laboratory of Industrial Control Technology [ICT2022B60]
机构署名:
本校为其他机构
摘要:
Abstract: Featured Application Authors are encouraged to provide a concise description of the specific application or a potential application of the work. This section is not mandatory. Abstract It is an essential measure for workers to wear safety helmets when entering the construction site to prevent head injuries caused by object collision and falling. This paper proposes a lightweight algorithm for helmet-wearing detection based on YOLOV5, which is faster and more robust for helmet detection in natural construction scenarios. In this paper, the MCA attention mechanism is embedded in the ba...

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