Abstract
The necessity to improve safety on work places, is an impressive driver for advances in the field of Personal Protective Equipment (PPE). Such devices are fundamental to avoid the worker getting hurt during hazardous operations in a work environment. This work presents a prototype of a wearable smart PPE (also called sensor node) equipped with chemical and physical sensors. In particular the sensor node includes particulate, VOC, O2, CO2, CO, sensors and offers the possibility to transmit over LORA network a report to enable an alarm protocol. With the aid of such a device the worker will result always connected to a sentinel network that will continuously monitor him/her in order to guarantee his/her safety. The node has enough computational power so as to implement a Real Time Locating System and Artificial Intelligence algorithms that can interpret some poses or gestures of the worker, correlate them with the location and, in case, recognize and classify them as dangerous. The whole architecture of the system will be presented together with some details on the hardware and software architecture.
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Funding
The authors disclose support for this research that has been performed in the frame of project: multiSensore per il monitoraggio degli Ambienti di LaVOro (S. A. L. V. O.), MSE PON 2014–2020, CUP B48I20000050005.
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Del Giudice, A., Dellutri, M., Di Francia, G., Formisano, F., Loffredo, G. (2023). S. A. L. V. O.: Towards a Smart Personal Protective Equipment. In: Di Francia, G., Di Natale, C. (eds) Sensors and Microsystems. AISEM 2021. Lecture Notes in Electrical Engineering, vol 918. Springer, Cham. https://doi.org/10.1007/978-3-031-08136-1_44
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DOI: https://doi.org/10.1007/978-3-031-08136-1_44
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