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A Convolutional Neural Network-enabled IoT framework to verify COVID-19 hygiene conditions and authorize access to facilities

Pires, I.M.P. ; Capris, T. ; Takagi, Y. ; Figueiredo, D. ; Henriques, J.

A Convolutional Neural Network-enabled IoT framework to verify COVID-19 hygiene conditions and authorize access to facilities, Proc The 19th International Conference on Mobile Systems and Pervasive Computing, Ontario, Canada, Vol. , pp. - , August, 2022.

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Abstract
COVID-19 has infected several million of individuals while claiming numerous lives. This fact raised the need to apply the measure
to prevent its transmission. The use of disinfection products, wearing masks, and avoiding touching doors are important measures
to avoid its spread. Thus, this work proposes a framework supported by a Convolutional Neural Network (CNN) model checking
the hygienic conditions of the individuals requiring authorization to access facilities. The experimental work takes IoT devices with
sensors to check: whether the users have disinfection product in their hands and a trained model to check whether individuals are
also wearing masks. The achieved results highlighted the effectiveness of the proposed framework.