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Authors: Paulo Mariano ; Bruno Pinho Campos ; Frederico Augusto Cardozo Diniz ; Carlos Cavalcanti and Ricardo Oliveira

Affiliation: Computing Department (DECOM), Federal University of Ouro Preto (UFOP), Ouro Preto 35400-000, Brazil

Keyword(s): Safe, Artificial Intelligence, Pattern Recognition, Machine Learning, Retrofit, Industry 4.0.

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).

CC BY-NC-ND 4.0

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Paper citation in several formats:
Mariano, P., Campos, B. P., Diniz, F. A. C., 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; ISSN 2184-4992, SciTePress, pages 649-656. DOI: 10.5220/0013473900003929

@conference{iceis25,
author={Paulo Mariano and Bruno Pinho Campos and Frederico Augusto Cardozo 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},
issn={2184-4992},
}

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
IS - 2184-4992
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

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