- CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality
- Edited by Pietro Capone, Vito Getuli, Farzad Pour Rahimian, Nashwan Dawood, Alessandro Bruttini, Tommaso Sorbi
Computer Vision-Based Monitoring Framework for Forklift Safety at Construction Site
- Muhammad Sibtain Abbas
- Aqsa Sabir
- Nasrullah Khan
- Syed Farhan Alam Zaidi
- Rahat Hussain
- Jaehun Yang
- Chansik Park
- © 2023 Author(s) |
- CC BY-NC 4.0
- DOI: 10.36253/979-12-215-0289-3.67
Efficient forklift operation is critical for construction site safety and project progress; yet, the construction industry deals with recurrent issues, including unauthorized forklift operation, operator drowsiness, visibility challenges, blind spots, and load placement errors. This paper introduces the "iSafe ForkLift," a comprehensive safety framework powered by computer vision, specifically designed to tackle these multifaceted safety challenges associated with forklift operations. The framework provides an array of integrated solutions, encompassing facial recognition for authorization, anomaly detection for behavior monitoring, stereo cameras for improved visibility, blind spot solutions, and load placement monitoring. Aligned with OSHA safety standards, it offers opportunities for enhanced forklift safety by addressing a broad spectrum of potential risks within a single, efficient framework. Systematically addressing multiple safety risks within this unified framework significantly elevates overall safety. Future studies should prioritize enhancing technology by merging computer vision with IoT to boost precision and safety, especially on challenging terrains, thereby elevating construction industry standards' reliability
- Keywords:
- Forklift operations,
- Computer vision,
- Safety framework,
- Operator drowsiness,
- Visibility challenges,
- OSHA standards,
- Regulatory compliance,
Chung Ang University, Korea (the Republic of)
Chung Ang University, Korea (the Republic of) - ORCID: 0009-0006-5459-909X
Chung Ang University, Korea (the Republic of)
Chung Ang University, Korea (the Republic of) - ORCID: 0000-0003-2257-290X
Chung Ang University, Korea (the Republic of) - ORCID: 0000-0002-6909-5189
Chung Ang University, Korea (the Republic of) - ORCID: 0000-0002-8192-340X
Chung Ang University, Korea (the Republic of) - ORCID: 0000-0003-2256-300X
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Chapter Information
Chapter Title
Computer Vision-Based Monitoring Framework for Forklift Safety at Construction Site
Authors
Muhammad Sibtain Abbas, Aqsa Sabir, Nasrullah Khan, Syed Farhan Alam Zaidi, Rahat Hussain, Jaehun Yang, Chansik Park
DOI
10.36253/979-12-215-0289-3.67
Peer Reviewed
Publication Year
2023
Copyright Information
© 2023 Author(s)
Content License
Metadata License
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
Metadata License
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