Proceedings of the International Conference Recent Advances in Materials, Processes and Technology for Sustainability (RAMPTS 2025)

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AI-Enabled PPE Surveillance System to Enhance Safety Standards in Shipyards

Authors
K. N. Ajeesh1, *, Remya Radhakrishnan1
1Department of Chemical Engineering, Government Engineering College Thrissur, APJ Abdul Kalam University, Thrissur, Kerala, India
*Corresponding author. Email: ajeeshkn@gectcr.ac.in
Corresponding Author
K. N. Ajeesh
Available Online 25 December 2025.
DOI
10.2991/978-94-6463-922-3_24How to use a DOI?
Keywords
Deep learning algorithm; personal protective equipment (PPE); computer vision; shipyard safety; image acquisition
Abstract

Deep learning algorithm YOLOv8 is used for monitoring compliance with Personal Protective Equipment (PPE) requirements in a large shipyard. The system aims to check for mandatory PPEs in dangerous tasks such as welding, handling chemicals, electrical maintenance, confined space work, and working at heights. The model is trained and evaluated to recognize critical PPE components with a personally created dataset of annotated images depicting shipyard scenarios. The methodology included image acquisition, manual annotation, model training, and detection. The results indicated that there is strong potential for PPE detection automated systems to enhance safety in diverse conditions, thus increasing the need for such real-time systems. The results facilitate the design of intelligent tools that aid in compliance enforcement and incident reduction in the industrial area.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference Recent Advances in Materials, Processes and Technology for Sustainability (RAMPTS 2025)
Series
Atlantis Highlights in Material Sciences and Technology
Publication Date
25 December 2025
ISBN
978-94-6463-922-3
ISSN
2590-3217
DOI
10.2991/978-94-6463-922-3_24How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - K. N. Ajeesh
AU  - Remya Radhakrishnan
PY  - 2025
DA  - 2025/12/25
TI  - AI-Enabled PPE Surveillance System to Enhance Safety Standards in Shipyards
BT  - Proceedings of the International Conference Recent Advances in Materials, Processes and Technology for Sustainability (RAMPTS 2025)
PB  - Atlantis Press
SP  - 351
EP  - 366
SN  - 2590-3217
UR  - https://doi.org/10.2991/978-94-6463-922-3_24
DO  - 10.2991/978-94-6463-922-3_24
ID  - Ajeesh2025
ER  -