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Mist and Edge Computing Cyber-Physical Human-Centered Systems for Industry 5.0: A Cost-Effective IoT Thermal Imaging Safety System
dc.contributor.author | Fraga-Lamas, Paula | |
dc.contributor.author | Barros, Daniel | |
dc.contributor.author | Lopes, Sérgio Ivan | |
dc.contributor.author | Fernández-Caramés, Tiago M. | |
dc.date.accessioned | 2023-05-24T08:37:50Z | |
dc.date.available | 2023-05-24T08:37:50Z | |
dc.date.issued | 2022-11 | |
dc.identifier.citation | P. Fraga-Lamas, D. Barros, S. I. Lopes, and T. M. Fernández-Caramés, “Mist and Edge Computing Cyber-Physical Human-Centered Systems for Industry 5.0: A Cost-Effective IoT Thermal Imaging Safety System,” Sensors, vol. 22, no. 21, p. 8500, Nov. 2022, doi: 10.3390/s22218500. | es_ES |
dc.identifier.uri | http://hdl.handle.net/2183/33114 | |
dc.description.abstract | [Abstract]: While many companies worldwide are still striving to adjust to Industry 4.0 principles, the transition to Industry 5.0 is already underway. Under such a paradigm, Cyber-Physical Human-centered Systems (CPHSs) have emerged to leverage operator capabilities in order to meet the goals of complex manufacturing systems towards human-centricity, resilience and sustainability. This article first describes the essential concepts for the development of Industry 5.0 CPHSs and then analyzes the latest CPHSs, identifying their main design requirements and key implementation components. Moreover, the major challenges for the development of such CPHSs are outlined. Next, to illustrate the previously described concepts, a real-world Industry 5.0 CPHS is presented. Such a CPHS enables increased operator safety and operation tracking in manufacturing processes that rely on collaborative robots and heavy machinery. Specifically, the proposed use case consists of a workshop where a smarter use of resources is required, and human proximity detection determines when machinery should be working or not in order to avoid incidents or accidents involving such machinery. The proposed CPHS makes use of a hybrid edge computing architecture with smart mist computing nodes that processes thermal images and reacts to prevent industrial safety issues. The performed experiments show that, in the selected real-world scenario, the developed CPHS algorithms are able to detect human presence with low-power devices (with a Raspberry Pi 3B) in a fast and accurate way (in less than 10 ms with a 97.04% accuracy), thus being an effective solution (e.g., a good trade-off between cost, accuracy, resilience and computational efficiency) that can be integrated into many Industry 5.0 applications. Finally, this article provides specific guidelines that will help future developers and managers to overcome the challenges that will arise when deploying the next generation of CPHSs for smart and sustainable manufacturing. | es_ES |
dc.description.sponsorship | This work has been performed under the scope of project TECH—Technology, Environment, Creativity and Health, Norte-01-0145-FEDER-000043, supported by Norte Portugal Regional Operational Program (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (ERDF). P.F.-L. and T.M.F.-C. have been supported through funds ED431G 2019/01 provided by Centro de Investigación de Galicia “CITIC” for a three-month research stay in Instituto Técnico de Viana do Castelo between 15 June and 15 September 2022. This work has also been funded by the Xunta de Galicia (by grant ED431C 2020/15), and by grant PID2020-118857RA (ORBALLO) funded by MCIN/AEI/10.13039/501100011033. | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED431G 2019/01 | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED431C 2020/15 | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | MDPI | es_ES |
dc.relation | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-118857RA/ES/EDGE COMPUTING OPORTUNISTA BASADO EN DISPOSITIVOS IOT MOVILES Y DE BAJA POTENCIA | es_ES |
dc.relation.uri | https://doi.org/10.3390/s22218500 | es_ES |
dc.rights | Atribución 3.0 España | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | * |
dc.subject | cyber-physical human-centered system | es_ES |
dc.subject | CPHS | es_ES |
dc.subject | human-in-the-loop | es_ES |
dc.subject | IIoT | es_ES |
dc.subject | edge computing | es_ES |
dc.subject | mist computing | es_ES |
dc.subject | sustainability | es_ES |
dc.subject | smart manufacturing | es_ES |
dc.subject | Industry 5.0 | es_ES |
dc.subject | digital twin | es_ES |
dc.title | Mist and Edge Computing Cyber-Physical Human-Centered Systems for Industry 5.0: A Cost-Effective IoT Thermal Imaging Safety System | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.access | info:eu-repo/semantics/openAccess | es_ES |
UDC.journalTitle | Sensors | es_ES |
UDC.volume | 22 | es_ES |
UDC.issue | 21 | es_ES |
dc.identifier.doi | 10.3390/s22218500 |
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