Multi-scale Depth Separable Safety Helmet Detection on Construction Site

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Graphic and Image Processing | 更新时间：2025-11-25

- Multi-scale Depth Separable Safety Helmet Detection on Construction Site
- “In the field of automated helmet monitoring, the MDSDet algorithm effectively improves the detection accuracy of multi-scale targets in complex environments through multi-scale depth separability technology, with an mAP of 87.9%.”
- Software Guide Vol. 24, Issue 10, Pages: 164-172(2025)
- 作者机构：
  
  成都信息工程大学计算机学院，四川成都 610225
- 作者简介：
- 基金信息：
- DOI：10.11907/rjdk.241775
  CLC： TP391
- Received：09 September 2024，
  
  Published：15 October 2025
- 稿件说明：
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刘金智,方睿,王俊霖等.多尺度深度可分离的施工现场安全帽检测[J].软件导刊,2025,24(10):164-172.

LIU Jinzhi,FANG Rui,WANG Junlin,et al.Multi-scale Depth Separable Safety Helmet Detection on Construction Site[J].Software Guide,2025,24(10):164-172.
刘金智,方睿,王俊霖等.多尺度深度可分离的施工现场安全帽检测[J].软件导刊,2025,24(10):164-172. DOI： 10.11907/rjdk.241775.

LIU Jinzhi,FANG Rui,WANG Junlin,et al.Multi-scale Depth Separable Safety Helmet Detection on Construction Site[J].Software Guide,2025,24(10):164-172. DOI： 10.11907/rjdk.241775.

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