Covid-19 protection in AAL environments using thermal and web cameras

In an autonomous and assisted living environment the risk of COVID-19 transmission is very high. The fragile health of the tenants in combination with the indoors environment impose protection measures to be taken. A set of technological solutions can offer protection to the tenants by monitoring th...

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Bibliographic Details
Published in2022 11th Mediterranean Conference on Embedded Computing (MECO) pp. 1 - 5
Main Authors Faliagka, Evanthia, Kaisari, Georgia, Mavrikis, Spyridon T., Spournias, Alexandros, Keramidas, Georgios, Antonopoulos, Christos, Voros, Nikolaos
Format Conference Proceeding
LanguageEnglish
Published IEEE 07.06.2022
Subjects
Ambient assisted living
Ambient Assisted Living Environment
Cameras
COVID-19
Embedded computing
Human factors
Image edge detection
Mask Detection
Social Distancing
Social factors
Thermal camera
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Summary:In an autonomous and assisted living environment the risk of COVID-19 transmission is very high. The fragile health of the tenants in combination with the indoors environment impose protection measures to be taken. A set of technological solutions can offer protection to the tenants by monitoring the individuals' distance between them, detecting if someone wears a mask or not and measuring his fever. This paper proposes to leverage the social distancing application in Ambient assisted living environments, as well as fever and mask detection, following the precautions proposed by the experts against Covid-19. The evaluation results were quite impressive and a high accuracy was achieved in every proposed module.
ISSN:2637-9511
DOI:10.1109/MECO55406.2022.9797192