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iSafe Welding System: Computer Vision-Based Monitoring System for Safe Welding Work

  • Syed Farhan Alam Zaidi
  • Rahat Hussain
  • Muhammad Sibtain Abbas
  • Jaehun Yang
  • Doyeop Lee
  • Chansik Park

The construction industry faces significant challenges, including a high prevalence of occupational incidents, often involving fires, explosions, and burn-related accidents due to worker non-compliance with safety protocols. Adherence to safety guidelines and proper utilization of safety equipment are critical to preventing such incidents and safeguarding workers in hazardous work environments. Consequently, a monitoring system tailored for construction safety during welding operations becomes imperative to mitigate the risk of fire accidents. This paper conducts a brief analysis of OSHA rules pertaining to welding work and introduces the iSafe Welding system, an advanced real-time safety monitoring and compliance enforcement solution designed specifically for construction site welding operations. Harnessing the real-time object detection algorithm YOLOv7 in conjunction with rule-based scene classification, the system excels in identifying potential safety violations. Rigorous evaluation, encompassing precision, recall, mean Average Precision (mAP), accuracy, and the F1-Score, sheds light on its strengths and areas for improvement. The system showcases robust performance in rule-based scene classification, achieving high accuracy, precision, and recall rates. Notably, the iSafe Welding system demonstrates a formidable potential for enhancing construction site safety and regulatory compliance. Ongoing enhancements, including dataset expansion and model refinement, underscore its commitment to real-world deployment and its strength in ensuring worker safety

  • Keywords:
  • Safety monitoring,
  • scene classification,
  • welding work,
  • fire prevention,
  • construction safety,
  • OSHA rules compliance,
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Syed Farhan Alam Zaidi

Chung Ang University, Korea (the Republic of) - ORCID: 0000-0003-2257-290X

Rahat Hussain

Chung Ang University, Korea (the Republic of) - ORCID: 0000-0002-6909-5189

Muhammad Sibtain Abbas

Chung Ang University, Korea (the Republic of)

Jaehun Yang

Chung Ang University, Korea (the Republic of) - ORCID: 0000-0002-8192-340X

Doyeop Lee

Chung Ang University, Korea (the Republic of) - ORCID: 0000-0002-6559-8782

Chansik Park

Chung Ang University, Korea (the Republic of) - ORCID: 0000-0003-2256-300X

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  • Publication Year: 2023
  • Pages: 669-675

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  • Publication Year: 2023

Chapter Information

Chapter Title

iSafe Welding System: Computer Vision-Based Monitoring System for Safe Welding Work

Authors

Syed Farhan Alam Zaidi, Rahat Hussain, Muhammad Sibtain Abbas, Jaehun Yang, Doyeop Lee, Chansik Park

DOI

10.36253/979-12-215-0289-3.66

Peer Reviewed

Publication Year

2023

Copyright Information

© 2023 Author(s)

Content License

CC BY-NC 4.0

Metadata License

CC0 1.0

Bibliographic Information

Book Title

CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality

Book Subtitle

Managing the Digital Transformation of Construction Industry

Editors

Pietro Capone, Vito Getuli, Farzad Pour Rahimian, Nashwan Dawood, Alessandro Bruttini, Tommaso Sorbi

Peer Reviewed

Publication Year

2023

Copyright Information

© 2023 Author(s)

Content License

CC BY-NC 4.0

Metadata License

CC0 1.0

Publisher Name

Firenze University Press

DOI

10.36253/979-12-215-0289-3

eISBN (pdf)

979-12-215-0289-3

eISBN (xml)

979-12-215-0257-2

Series Title

Proceedings e report

Series ISSN

2704-601X

Series E-ISSN

2704-5846

52

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