Research on YOLOv5n-based lightweight hardhatwearing detection algorithm-Reference-Cited by-同舟云学术

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Research on YOLOv5n-based lightweight hardhatwearing detection algorithm

Published:2024-08-10 Issue: Volume:19 Page:66-71
ISSN:
Container-title:2024 IEEE 6th Symposium on Computers & Informatics (ISCI)
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Author:

Luo Wanbo¹,Yassin Ahmad Ihsan Mohd²,Shariff Khairul Khaizi Mohd²,Raju Rajeswari³

Affiliation:

1. Universiti Teknologi MARA,School of Electrical Engineering,Shah Alam,Malaysia

2. Universiti Teknologi MARA,Microwave Research Institute,Shah Alam,Malaysia

3. Universiti Teknologi MARA,Faculty of Computer and Mathematical Sciences,Kuala Terengganu,Malaysia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10666969/10667684/10667923.pdf?arnumber=10667923

Reference15 articles.

1. Dress Code Surveillance at Power Grid Construction Site via Object Detection

2. Research on online detection technology of construction personnel helmet;Sun;Science and Technology & Innovation,2021

3. Intelligent Video Recognition of Violation Behavior in Substation Site Based on Mask R-CNN

4. Monitoring the Abnormal Human Behaviors in Substations based on Probabilistic Behaviours Prediction and YOLO-V5

5. Safety helmet detection algorithm in complex scenarios based on YOLOX

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