Abstract
The industrial sector is the key driver of the society’s economic and social development. However, it is necessary for workers in this sector to have knowledge of and comply with the safety standards of the industry, designed to ensure their safety at work. Companies take different measures to reduce the rate of accidents; they use Internet of Things and Industry 4.0 technologies to detect and give notifications of anomalies detected in the work environment. This article proposes the design of an architecture using Personal Protective Equipment (PPE), where the collected information is processed by Artificial Intelligence (AI) techniques through Edge Computing and the implementation of Multi Agent System and ROS technology. The proposed system is to be embedded in the PPE worn by workers, guaranteeing their safety and integrity through the prediction and notification of anomalies detected in their environment with no need for internet give that in some cases there is internet connection is not possible.
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Acknowledgments
This work was supported by the Spanish Junta de Castilla y León, Consejería de empleo. Project: UPPER, aUgmented reality and smart personal protective equipment (PPE) for intelligent pRevention of occupational hazards and accessibility INVESTUN/18/SA/0001.
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Sánchez, S.M. et al. (2020). Edge Computing Driven Smart Personal Protective System Deployed on NVIDIA Jetson and Integrated with ROS. In: De La Prieta, F., et al. Highlights in Practical Applications of Agents, Multi-Agent Systems, and Trust-worthiness. The PAAMS Collection. PAAMS 2020. Communications in Computer and Information Science, vol 1233. Springer, Cham. https://doi.org/10.1007/978-3-030-51999-5_32
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DOI: https://doi.org/10.1007/978-3-030-51999-5_32
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