Detection Algorithm of Electric Power Operation Wearable Device Based on GSConv Lightweight YOLOv5s

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更新时间：2024-11-19

- Detection Algorithm of Electric Power Operation Wearable Device Based on GSConv Lightweight YOLOv5s
- “In the field of power operation safety, experts have proposed a detection algorithm that integrates GSConv lightweight YOLOv5s to effectively monitor whether operators are wearing safety equipment correctly.”
- Software Guide Vol. 23, Issue 11, Pages: 172-180(2024)
- 作者机构：
  
  1.国网江西信通公司，江西南昌 330095
  2.南京邮电大学计算机学院，江苏南京 210032
  3.江西师范大学软件学院，江西南昌 330022
  4.江西理工大学软件工程学院，江西南昌 330013
- 作者简介：
- 基金信息：
- DOI：10.11907/rjdk.231879
  CLC： TP391.4
- Received：13 August 2023，
  
  Published：15 November 2024
- 稿件说明：
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周洋,胡国强,汪行健等.融合GSConv轻量化YOLOv5s的电力作业穿戴设备检测算法[J].软件导刊,2024,23(11):172-180.

ZHOU Yang,HU Guoqiang,WANG Xingjian,et al.Detection Algorithm of Electric Power Operation Wearable Device Based on GSConv Lightweight YOLOv5s[J].Software Guide,2024,23(11):172-180.
周洋,胡国强,汪行健等.融合GSConv轻量化YOLOv5s的电力作业穿戴设备检测算法[J].软件导刊,2024,23(11):172-180. DOI： 10.11907/rjdk.231879.

ZHOU Yang,HU Guoqiang,WANG Xingjian,et al.Detection Algorithm of Electric Power Operation Wearable Device Based on GSConv Lightweight YOLOv5s[J].Software Guide,2024,23(11):172-180. DOI： 10.11907/rjdk.231879.

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