Real-Time Safety Helmet Detection Using Enhanced YOLOv5 Object Detection-Reference-Cited by-同舟云学术

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Real-Time Safety Helmet Detection Using Enhanced YOLOv5 Object Detection

Published:2023-10-17 Issue: Volume: Page:100-104
ISSN:
Container-title:2023 IEEE 9th International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA)
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Author:

Zamri Fatin Najihah Muhamad¹,Kartiwi Mira²,Zulkurnain Nurul Fariza¹,Yusoff Nelidya Md.³,Gunawan Teddy Surya¹,Nur Levy Olivia⁴

Affiliation:

1. International Islamic University Malaysia,Electrical and Computer Engineering Dept.,Kuala Lumpur,Malaysia,53100

2. International Islamic University Malaysia,Information Systems Department,Kuala Lumpur,Malaysia,53100

3. UTM Kuala Lumpur,Razak Faculty of Technology & Informatics,Kuala Lumpur,Malaysia,54100

4. Telkom University,School of Electrical Engineering,Bandung,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10373396/10373418/10373456.pdf?arnumber=10373456

Reference13 articles.

1. Deep Learning-Based Automatic Safety Helmet Detection System for Construction Safety

2. Safety Helmet Detection Algorithm based on Color and HOG Features

3. Safety Helmet Wearing Detection Based On Deep Learning

4. Real-time Safety Helmet-wearing Detection Based on Improved YOLOv5

5. Video Detection of Helmet Wearing Based on Improved YOLOv4

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