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

• Published in: 2022 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
• Language: English
• 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
• DOI: 10.1109/MECO55406.2022.9797192

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.