TY - GEN
T1 - A Covid-19 viral transmission prevention system for embedded devices utilising deep learning
AU - Penica, Mihai
AU - Mohandas, Reenu
AU - Bhattacharya, Mangolika
AU - Vancamp, Karl
AU - Hayes, Martin
AU - O'Connell, Eoin
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/6/10
Y1 - 2021/6/10
N2 - The coronavirus pandemic (COVID-19) has created an urgent need for different monitoring systems to prevent viral transmission because of its severity and contagious aspect. This paper proposes design and implementation of a hardware-software solution that uses supervised machine learning algorithms to examine an individual and determine if he/she poses a viral transmission danger. The solution proposed was developed utilising an ARM embedded device along with different sensors to detect and monitor COVID-19 symptoms and, at the same time, to enforce wearing of a mask by using deep learning computer vision.
AB - The coronavirus pandemic (COVID-19) has created an urgent need for different monitoring systems to prevent viral transmission because of its severity and contagious aspect. This paper proposes design and implementation of a hardware-software solution that uses supervised machine learning algorithms to examine an individual and determine if he/she poses a viral transmission danger. The solution proposed was developed utilising an ARM embedded device along with different sensors to detect and monitor COVID-19 symptoms and, at the same time, to enforce wearing of a mask by using deep learning computer vision.
KW - artificial intelligence
KW - COVID-19 symptoms
KW - covid19 viral transmission
KW - health monitoring
KW - raspberry pi
UR - http://www.scopus.com/inward/record.url?scp=85114445913&partnerID=8YFLogxK
U2 - 10.1109/ISSC52156.2021.9467847
DO - 10.1109/ISSC52156.2021.9467847
M3 - Conference contribution
AN - SCOPUS:85114445913
T3 - 2021 32nd Irish Signals and Systems Conference, ISSC 2021
BT - 2021 32nd Irish Signals and Systems Conference, ISSC 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 32nd Irish Signals and Systems Conference, ISSC 2021
Y2 - 10 June 2021 through 11 June 2021
ER -