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Object Detection for Safety Attire Using YOLO(You Only Look Once)

Personal protective equipment (PPE) usage is mandated for all employees to prevent workplace accidents and foster a safe and healthy work environment. Using YOLOv8 machine learning and Google Colab's web-based development environment, this research aims to create an im...

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Main Authors: Afifuddin Arif, Shihabuddin Arip, Norazlianie, Sazali, Kadirgama, Kumaran, Ahmad Shahir, Jamaludin, Faiz, Mohd Turan, Norhaida, Ab. Razak
Format: Article
Language:English
Published: Semarak Ilmu Publishing 2024
Subjects:
TJ Mechanical engineering and machinery
TL Motor vehicles. Aeronautics. Astronautics
TS Manufactures
Online Access:http://umpir.ump.edu.my/id/eprint/40142/1/Object%20Detection%20for%20Safety%20Attire%20Using%20YOLO.pdf
http://umpir.ump.edu.my/id/eprint/40142/
https://semarakilmu.com.my/journals/index.php/appl_mech/article/view/4580/3594
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spelling my.ump.umpir.401422024-01-23T02:27:40Z http://umpir.ump.edu.my/id/eprint/40142/ Object Detection for Safety Attire Using YOLO(You Only Look Once) Afifuddin Arif, Shihabuddin Arip Norazlianie, Sazali Kadirgama, Kumaran Ahmad Shahir, Jamaludin Faiz, Mohd Turan Norhaida, Ab. Razak TJ Mechanical engineering and machinery TL Motor vehicles. Aeronautics. Astronautics TS Manufactures Personal protective equipment (PPE) usage is mandated for all employees to prevent workplace accidents and foster a safe and healthy work environment. Using YOLOv8 machine learning and Google Colab's web-based development environment, this research aims to create an immediate detection system for PPE violations in the workplace. By keeping track of PPE compliance, the system is intended to increase workplace safety and prevent accidents. The dataset is collected through a mixture of real-life image gathering and internet datasets. Various images are collected that aim to train the model to detect objects from afar, close, and individually. The research methodology includes a review of the literature, the gathering, pre-processing, and training of models. According to the use of safety helmets, safety shoes, and gloves, there are three different classes of detection based on the bounding box. The system successfully detected the classes with an overall score above 0.8. The safety helmet achieved 0.969, the safety gloves achieved 0.857, followed by the safety vest with 0.887. The findings from this study indicate that the developed system can effectively improve occupational safety and health management. However, there is a detection error factor caused by the lighting and colours. Future research can focus on integrating the system with other work safety systems to provide a comprehensive solution for accident prevention. Semarak Ilmu Publishing 2024 Article PeerReviewed pdf en cc_by_nc_4 http://umpir.ump.edu.my/id/eprint/40142/1/Object%20Detection%20for%20Safety%20Attire%20Using%20YOLO.pdf Afifuddin Arif, Shihabuddin Arip and Norazlianie, Sazali and Kadirgama, Kumaran and Ahmad Shahir, Jamaludin and Faiz, Mohd Turan and Norhaida, Ab. Razak (2024) Object Detection for Safety Attire Using YOLO(You Only Look Once). Journal of Advanced Research in Applied Mechanics, 113 (1). pp. 37-51. ISSN 2289-7895. (Published) https://semarakilmu.com.my/journals/index.php/appl_mech/article/view/4580/3594
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TJ Mechanical engineering and machinery
TL Motor vehicles. Aeronautics. Astronautics
TS Manufactures
spellingShingle TJ Mechanical engineering and machinery
TL Motor vehicles. Aeronautics. Astronautics
TS Manufactures
Afifuddin Arif, Shihabuddin Arip
Norazlianie, Sazali
Kadirgama, Kumaran
Ahmad Shahir, Jamaludin
Faiz, Mohd Turan
Norhaida, Ab. Razak
Object Detection for Safety Attire Using YOLO(You Only Look Once)
description Personal protective equipment (PPE) usage is mandated for all employees to prevent workplace accidents and foster a safe and healthy work environment. Using YOLOv8 machine learning and Google Colab's web-based development environment, this research aims to create an immediate detection system for PPE violations in the workplace. By keeping track of PPE compliance, the system is intended to increase workplace safety and prevent accidents. The dataset is collected through a mixture of real-life image gathering and internet datasets. Various images are collected that aim to train the model to detect objects from afar, close, and individually. The research methodology includes a review of the literature, the gathering, pre-processing, and training of models. According to the use of safety helmets, safety shoes, and gloves, there are three different classes of detection based on the bounding box. The system successfully detected the classes with an overall score above 0.8. The safety helmet achieved 0.969, the safety gloves achieved 0.857, followed by the safety vest with 0.887. The findings from this study indicate that the developed system can effectively improve occupational safety and health management. However, there is a detection error factor caused by the lighting and colours. Future research can focus on integrating the system with other work safety systems to provide a comprehensive solution for accident prevention.
format Article
author Afifuddin Arif, Shihabuddin Arip
Norazlianie, Sazali
Kadirgama, Kumaran
Ahmad Shahir, Jamaludin
Faiz, Mohd Turan
Norhaida, Ab. Razak
author_facet Afifuddin Arif, Shihabuddin Arip
Norazlianie, Sazali
Kadirgama, Kumaran
Ahmad Shahir, Jamaludin
Faiz, Mohd Turan
Norhaida, Ab. Razak
author_sort Afifuddin Arif, Shihabuddin Arip
title Object Detection for Safety Attire Using YOLO(You Only Look Once)
title_short Object Detection for Safety Attire Using YOLO(You Only Look Once)
title_full Object Detection for Safety Attire Using YOLO(You Only Look Once)
title_fullStr Object Detection for Safety Attire Using YOLO(You Only Look Once)
title_full_unstemmed Object Detection for Safety Attire Using YOLO(You Only Look Once)
title_sort object detection for safety attire using yolo(you only look once)
publisher Semarak Ilmu Publishing
publishDate 2024
url http://umpir.ump.edu.my/id/eprint/40142/1/Object%20Detection%20for%20Safety%20Attire%20Using%20YOLO.pdf
http://umpir.ump.edu.my/id/eprint/40142/
https://semarakilmu.com.my/journals/index.php/appl_mech/article/view/4580/3594
_version_ 1822924102733660160
score 13.23243

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