您当前的位置：
首页 >
文章列表页 >
Safety Helmet Wearing Detection Algorithm Based on Improved YOLOv8
Graphic and Image Processing | 更新时间：2026-01-27

    • Safety Helmet Wearing Detection Algorithm Based on Improved YOLOv8

    • “In the field of safety helmet detection on construction sites, researchers have proposed a real-time detection algorithm based on improved YOLOv8, which effectively identifies densely occluded small targets and has high application value.”
    • Software Guide   Vol. 25, Issue 1, Pages: 172-183(2026)

    • DOI：10.11907/rjdk.241907    

      CLC： TP391.4

    • Received：26 October 2024，

      Published：15 January 2026

    移动端阅览

  • XIE Minyi,JIANG Zuo,WAN Xuejun,et al.Safety Helmet Wearing Detection Algorithm Based on Improved YOLOv8[J].Software Guide,2026,25(01):172-183. DOI： 10.11907/rjdk.241907.

  •  
  •  

0

Views

0

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

Research on Vehicle and Pedestrian Detection Algorithm Based on YOLOv8 in Foggy Environment
Ladder Detection and Positioning Based on Improved YOLOv8
Lightweight Detection Algorithm for Tibetan Medicinal Plants Based on Improved YOLOv8
Lightweight Nighttime Pedestrian Vehicle Detection Based on RHUS-YOLOv8

Related Author

DU Yuting
HE Jia
WANG Xiaojun
WANG Zidong
PENG Liangliang
XUE Wei
LUO Zhiling
LI Dong

Related Institution

School of Computer Science， Chengdu University of Information Technology
National Pharmaceutical Group Weiqida Pharmaceutical Co. ， Ltd.
School of Information Science and Engineering， Hebei University of Science and Technology
School of Computer Technology and Application， Qinghai University
Dalian Key Laboratory of Blockchain Technology and Application
0