The recent COVID-19 pandemic has led to a growing interest in IT tools for monitoring social distance and for checking the presence of personal protective equipment and whether it is worn properly. Correct monitoring in outdoor and indoor areas is essential to limit the spread of the virus and the risk of being infected. This paper presents PER-COVID, a software platform capable of monitoring crowds of people and the correct use of personal protective equipment in real time using innovative computer vision algorithms. The proposed system architecture and functional characteristics are illustrated, as well as some user interface screens are provided for simple interpretation and monitoring of critical events.

PER-COVID (PEople pRoximity based on Certified and coOperative VIDeo-intelligence): A Software Tool for Physical Distancing and PPE Monitoring

Avanzato R.;Beritelli F.
2021-01-01

Abstract

The recent COVID-19 pandemic has led to a growing interest in IT tools for monitoring social distance and for checking the presence of personal protective equipment and whether it is worn properly. Correct monitoring in outdoor and indoor areas is essential to limit the spread of the virus and the risk of being infected. This paper presents PER-COVID, a software platform capable of monitoring crowds of people and the correct use of personal protective equipment in real time using innovative computer vision algorithms. The proposed system architecture and functional characteristics are illustrated, as well as some user interface screens are provided for simple interpretation and monitoring of critical events.
2021
978-1-6654-4209-1
978-1-6654-2605-3
Computer vision
Distancing and PPE monitoring
Machine learning
Software tool
Video processing
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/526946
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