您当前的位置：
首页 >
文章列表页 >
Detection system of worker’s safety helmet wearing based on YOLOv8 and deformable convolution
Theory and Technology | 更新时间：2026-10-10

    • Detection system of worker’s safety helmet wearing based on YOLOv8 and deformable convolution

    • Chinese Journal on Internet of Things   Vol. 10, Issue 2, Pages: 201-209(2026)

    • DOI：10.11959/j.issn.2096-3750.WLW25045    

      CLC：

    • Received：06 March 2025，

      Revised：2025-06-09，

      Accepted：07 August 2025，

      Published：20 June 2026

    移动端阅览

  • Sun Yemei,Li Miao,Duan Congcong,et al.Detection system of worker’s safety helmet wearing based on YOLOv8 and deformable convolution[J].Chinese Journal on Internet of Things,2026,10(02):201-209. DOI： 10.11959/j.issn.2096-3750.WLW25045.

  •  
  •  

0

Views

182

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

UWB-LLM: ultra-wideband radar multi-tasking learning based on large language model
Analysis of key nodes fusing functional characteristics and topology structure in satellite Internet of things
Collaborative forest fire identification: a lightweight model-based approach
Research on a lightweight Mesh broadcasting algorithm for robot cluster control
UAV-assisted edge computing offloading and resource allocation scheme for Internet of vehicles

Related Author

No data

Related Institution

No data
0