Enhancing Safety and Privacy in Industry 4.0: The ICE Laboratory Case Study

Federico Cunico; Stefano Aldegheri; Andrea Avogaro; Michele Boldo; Nicola Bombieri; Luigi Capogrosso; Ariel Caputo; Damiano Carra; Stefano Centomo; Dong Seon Cheng; Ettore Cinquetti; Marco Cristani; Mirco De Marchi; Florenc Demrozi; Marco Emporio; Franco Fummi; Luca Geretti; Samuele Germiniani; Andrea Giachetti; Federico Girella; Enrico Martini; Gloria Menegaz; Niek Muijs; Federica Paci; Marco Panato; Graziano Pravadelli; Elisa Quintarelli; Ilaria Siviero; Silvia Francesca Storti; Carlo Tadiello; Cristian Turetta; Tiziano Villa; Nicola Zannone; Davide Quaglia

doi:10.1109/ACCESS.2024.3479411

Enhancing Safety and Privacy in Industry 4.0: The ICE Laboratory Case Study

Federico Cunico (Corresponding author)
, Stefano Aldegheri
, Andrea Avogaro
, Michele Boldo
, Nicola Bombieri
, Luigi Capogrosso
, Ariel Caputo
, Damiano Carra
, Stefano Centomo
, Dong Seon Cheng
, Ettore Cinquetti
, Marco Cristani
, Mirco De Marchi
, Florenc Demrozi
, Marco Emporio
, Franco Fummi
, Luca Geretti
, Samuele Germiniani
, Andrea Giachetti
, Federico Girella

Enrico Martini, Gloria Menegaz, Niek Muijs, Federica Paci, Marco Panato, Graziano Pravadelli, Elisa Quintarelli, Ilaria Siviero, Silvia Francesca Storti, Carlo Tadiello, Cristian Turetta, Tiziano Villa, Nicola Zannone, Davide Quaglia

Research output: Contribution to journal › Article › Academic › peer-review

4 Citations (Scopus)

66 Downloads (Pure)

Abstract

The revolutionary technologies behind Industry 4.0 have opened a new era for manufacturing: connected and autonomous machines, collaborative robotics, and monitoring techniques are spreading to increase productivity and sustainability. From the workers' perspective, they bring new safety threats but also opportunities to solve old ones, while concerns about workers' privacy arise due to the increase of data sensed and transferred from the shop floor. This paper presents the results of a research project addressing the prediction of dangerous conditions through workplace monitoring with privacy guarantees. This work is driven by a realistic approach starting from the fact that it is entirely centered on a real 14-meter production line equipped with an extensive array of top-tier devices, including robotic arms, autonomous mobile robots, a reconfigurable moving belt, a multi-camera system, and a highly efficient data transport and computation infrastructure. This project shows safety and privacy achievements over six representative use cases such as man-on-the-ground, environmental events (e.g., fire incidents), workers' errors that can lead to potential accidents, compliance of Personal Protective Equipment (PPE), and gatherings restrictions. The benefits of this study extend to stakeholders such as manufacturers and workers offering safety systems that can be deployed in industrial settings while addressing privacy concerns and providing compliance with regulations. The industrial laboratory at the heart of this study represents with realism a dynamic and interconnected Industry 4.0 and 5.0 environment.

Original language	English
Pages (from-to)	154570-154599
Number of pages	30
Journal	IEEE Access
Volume	12
DOIs	https://doi.org/10.1109/ACCESS.2024.3479411
Publication status	Published - 14 Oct 2024

Bibliographical note

Publisher Copyright:
© 2013 IEEE.

Funding

This work was supported in part by the Italian Ministry of University and Research (MUR) through Dipartimenti di Eccellenza (2018 2022); in part by the Fondazione Cariverona through Ricerca&Sviluppo; and in part by the European Union NextGenerationEU (Italiadomani, Piano Nazionale di Ripresa e Resilienza (PNRR) Missione 4 Componente 2, Investimento 3.3 progetto M4C2). This work involved human subjects or animals in its research. Approval of all ethical and experimental procedures and protocols was granted by the Comitato di Approvazione della Ricerca sulla Persona under Application No. 2.R1/2022. The work was supported in part by the Italian Ministry of University and Research (MUR) with the grant \u2018\u2018Dipartimenti di Eccellenza\u2019\u2019 2018-2022 and by Fondazione Cariverona with the grant \u2018\u2018Ricerca&Sviluppo\u2019\u2019. Furthermore, this study was also partially funded by the European Union - NextGenerationEU (Italiadomani, Piano Nazionale di Ripresa e Resilienza (PNRR) - Missione 4 - Componente 2, Investimento 3.3 - progetto M4C2). In 2018, the Italian Ministry of Education, Universities, and Research (MIUR) awarded the Department of Computer Science of the University of Verona a grant for being a Department of Excellence. One key aspect of the awarded project was the establishment of the Industrial Computer Engineering (ICE) Laboratory for Industry 4.0 with a modern production line, extended with equipment for augmented reality and digital production, and connected with the university\u2019s high-performance computational platform.

Funders	Funder number
Ministero dell’Istruzione, dell’Università e della Ricerca	2018-2022

Keywords

human-robot interaction
industry 4.0
industry 5.0
occupational safety
privacy
Industry 4.0

Access to Document

10.1109/ACCESS.2024.3479411

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Cite this

Cunico, F., Aldegheri, S., Avogaro, A., Boldo, M., Bombieri, N., Capogrosso, L., Caputo, A., Carra, D., Centomo, S., Cheng, D. S., Cinquetti, E., Cristani, M., Marchi, M. D., Demrozi, F., Emporio, M., Fummi, F., Geretti, L., Germiniani, S., Giachetti, A., ... Quaglia, D. (2024). Enhancing Safety and Privacy in Industry 4.0: The ICE Laboratory Case Study. IEEE Access, 12, 154570-154599. https://doi.org/10.1109/ACCESS.2024.3479411

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title = "Enhancing Safety and Privacy in Industry 4.0: The ICE Laboratory Case Study",

abstract = "The revolutionary technologies behind Industry 4.0 have opened a new era for manufacturing: connected and autonomous machines, collaborative robotics, and monitoring techniques are spreading to increase productivity and sustainability. From the workers' perspective, they bring new safety threats but also opportunities to solve old ones, while concerns about workers' privacy arise due to the increase of data sensed and transferred from the shop floor. This paper presents the results of a research project addressing the prediction of dangerous conditions through workplace monitoring with privacy guarantees. This work is driven by a realistic approach starting from the fact that it is entirely centered on a real 14-meter production line equipped with an extensive array of top-tier devices, including robotic arms, autonomous mobile robots, a reconfigurable moving belt, a multi-camera system, and a highly efficient data transport and computation infrastructure. This project shows safety and privacy achievements over six representative use cases such as man-on-the-ground, environmental events (e.g., fire incidents), workers' errors that can lead to potential accidents, compliance of Personal Protective Equipment (PPE), and gatherings restrictions. The benefits of this study extend to stakeholders such as manufacturers and workers offering safety systems that can be deployed in industrial settings while addressing privacy concerns and providing compliance with regulations. The industrial laboratory at the heart of this study represents with realism a dynamic and interconnected Industry 4.0 and 5.0 environment.",

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author = "Federico Cunico and Stefano Aldegheri and Andrea Avogaro and Michele Boldo and Nicola Bombieri and Luigi Capogrosso and Ariel Caputo and Damiano Carra and Stefano Centomo and Cheng, \{Dong Seon\} and Ettore Cinquetti and Marco Cristani and Marchi, \{Mirco De\} and Florenc Demrozi and Marco Emporio and Franco Fummi and Luca Geretti and Samuele Germiniani and Andrea Giachetti and Federico Girella and Enrico Martini and Gloria Menegaz and Niek Muijs and Federica Paci and Marco Panato and Graziano Pravadelli and Elisa Quintarelli and Ilaria Siviero and Storti, \{Silvia Francesca\} and Carlo Tadiello and Cristian Turetta and Tiziano Villa and Nicola Zannone and Davide Quaglia",

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year = "2024",

month = oct,

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doi = "10.1109/ACCESS.2024.3479411",

language = "English",

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pages = "154570--154599",

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Cunico, F, Aldegheri, S, Avogaro, A, Boldo, M, Bombieri, N, Capogrosso, L, Caputo, A, Carra, D, Centomo, S, Cheng, DS, Cinquetti, E, Cristani, M, Marchi, MD, Demrozi, F, Emporio, M, Fummi, F, Geretti, L, Germiniani, S, Giachetti, A, Girella, F, Martini, E, Menegaz, G, Muijs, N, Paci, F, Panato, M, Pravadelli, G, Quintarelli, E, Siviero, I, Storti, SF, Tadiello, C, Turetta, C, Villa, T, Zannone, N & Quaglia, D 2024, 'Enhancing Safety and Privacy in Industry 4.0: The ICE Laboratory Case Study', IEEE Access, vol. 12, pp. 154570-154599. https://doi.org/10.1109/ACCESS.2024.3479411

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AU - Cunico, Federico

AU - Aldegheri, Stefano

AU - Avogaro, Andrea

AU - Boldo, Michele

AU - Bombieri, Nicola

AU - Capogrosso, Luigi

AU - Caputo, Ariel

AU - Carra, Damiano

AU - Centomo, Stefano

AU - Cheng, Dong Seon

AU - Cinquetti, Ettore

AU - Cristani, Marco

AU - Marchi, Mirco De

AU - Demrozi, Florenc

AU - Emporio, Marco

AU - Fummi, Franco

AU - Geretti, Luca

AU - Germiniani, Samuele

AU - Giachetti, Andrea

AU - Girella, Federico

AU - Martini, Enrico

AU - Menegaz, Gloria

AU - Muijs, Niek

AU - Paci, Federica

AU - Panato, Marco

AU - Pravadelli, Graziano

AU - Quintarelli, Elisa

AU - Siviero, Ilaria

AU - Storti, Silvia Francesca

AU - Tadiello, Carlo

AU - Turetta, Cristian

AU - Villa, Tiziano

AU - Zannone, Nicola

AU - Quaglia, Davide

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KW - occupational safety

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Enhancing Safety and Privacy in Industry 4.0: The ICE Laboratory Case Study

Abstract

Bibliographical note

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Keywords

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