In this work, we propose a low-cost Smart and Healthy Intelligent Room System (SHIRS), able to monitor Indoor Air Quality (IAQ) by enhancing edge-based computation. SHIRS exploits the ability to run Machine Learning (ML) algorithms to infer humans presence (headcount) from environmental data analysis. Experimental results show the validity of the proposed approach, demonstrate the potential of edge-based computing and push towards the adoption of smart integrated Cloud-IoT frameworks for environmental monitoring and control.
Cicceri G., Scaffidi C., Benomar Z., Distefano S., Puliafito A., Tricomi G., et al. (2020). Smart Healthy Intelligent Room: Headcount through Air Quality Monitoring. In Proceedings - 2020 IEEE International Conference on Smart Computing, SMARTCOMP 2020 (pp. 320-325). 345 E 47TH ST, NEW YORK, NY 10017 USA : Institute of Electrical and Electronics Engineers Inc. [10.1109/SMARTCOMP50058.2020.00071].
Smart Healthy Intelligent Room: Headcount through Air Quality Monitoring
Cicceri G.
Primo
;
2020-11-06
Abstract
In this work, we propose a low-cost Smart and Healthy Intelligent Room System (SHIRS), able to monitor Indoor Air Quality (IAQ) by enhancing edge-based computation. SHIRS exploits the ability to run Machine Learning (ML) algorithms to infer humans presence (headcount) from environmental data analysis. Experimental results show the validity of the proposed approach, demonstrate the potential of edge-based computing and push towards the adoption of smart integrated Cloud-IoT frameworks for environmental monitoring and control.
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