Improved Object Detection Algorithm for Workshop Environments Based on YOLOv5-Reference-Cited by-同舟云学术

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Improved Object Detection Algorithm for Workshop Environments Based on YOLOv5

Published:2023-12-08 Issue: Volume: Page:1714-1718
ISSN:
Container-title:2023 9th International Conference on Computer and Communications (ICCC)
language:
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Author:

Tan Jinting¹,Wang Hongliang²,Li Xuerao³,Zhang Xiaoxing⁴

Affiliation:

1. Shenyang Ligong University,Shenyang Institute of Computing Technology Chinese Academy of Sciences,Shenyang,China

2. University of Chinese Academy of Sciences Liaoning Province Human-Computer Interaction System Engineering Research Center Based on Digital Twin,Shenyang Institute of Computing Technology Chinese Academy of Sciences,Shenyang,China

3. Liaoning Province Human-Computer Interaction System Engineering Research Center Based on Digital Twin,Shenyang Institute of Computing Technology Chinese Academy of Sciences,Shenyang,China

4. University of Chinese Academy of Sciences,Shenyang Institute of Computing Technology Chinese Academy of Sciences,Shenyang,China

Funder

Shenyang Young and Middle-aged Science and Technology Innovation Talent Support Program

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10507208/10507251/10507328.pdf?arnumber=10507328

Reference16 articles.

1. Improved Safety Helmet Wearing Detection Algorithm for YOLOv5;Qiao;Computer Engineering and Applications

2. Real‐time automatic helmet detection of motorcyclists in urban traffic using improved YOLOv5 detector

3. Research on safety helmet detection method based on convolutional neural network

4. Multi-Scale Safety Helmet Detection Based on SAS-YOLOv3-Tiny

5. Safety Helmet Detection Method Based on Faster R-CNN

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