Accident Prevention in Industry 4.0 Using Retrofit: A Proposal

Paulo Mariano, Bruno Pinho Campos, Frederico Augusto Cardozo Diniz, Carlos Cavalcanti, Ricardo Oliveira

2025

Abstract

In this work, we present an Industry 4.0 retrofit solution to prevent accidents in industrial environments, specifically focusing on the operation of bandsaw machines. It examines a real-world scenario where a company aims to enhance worker safety by implementing an integrated solution. The proposed solution involves a pattern recognition system that monitors the work area and sends commands to stop the machine in case of dangerous movements near the bandsaw. This system adheres to Industry 4.0 principles, demonstrating how this methodology can create a safer industrial environment to connect information technology (IT) and operational technology (OT).

Paper Citation

in Harvard Style

Mariano P., Campos B., Diniz F., Cavalcanti C. and Oliveira R. (2025). Accident Prevention in Industry 4.0 Using Retrofit: A Proposal. In Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 978-989-758-749-8, SciTePress, pages 649-656. DOI: 10.5220/0013473900003929

in Bibtex Style

@conference{iceis25,
author={Paulo Mariano and Bruno Campos and Frederico Diniz and Carlos Cavalcanti and Ricardo Oliveira},
title={Accident Prevention in Industry 4.0 Using Retrofit: A Proposal},
booktitle={Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2025},
pages={649-656},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013473900003929},
isbn={978-989-758-749-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - Accident Prevention in Industry 4.0 Using Retrofit: A Proposal
SN - 978-989-758-749-8
AU - Mariano P.
AU - Campos B.
AU - Diniz F.
AU - Cavalcanti C.
AU - Oliveira R.
PY - 2025
SP - 649
EP - 656
DO - 10.5220/0013473900003929
PB - SciTePress