AI-Based COVID Alert System on Embedded Platform

ABSTRACT

Corona Virus Disease (COVID-19) has hit the world hard and almost every country has faced its consequences may be the population and number of people affected or economically. Crowd management is incredibly tough for big surroundings and continuous watching manually is troublesome to execute. Vaccinated people are also getting affected by the virus so it is advisable to take Public Health & Social Measures (PHSM) such as wearing a proper mask, sanitization and keeping social distancing in crowded places. The proposed paper presents a machine learning based real-time Covid alert and prevention system to ensure Covid appropriate behavior in public places and social gatherings. There are three modules under this system (i) Real-time Face mask detection, where persons with masks, improper masks or no mask are detected and classified;(ii) Real-time people counting for ensuring a limit on public meetings and social gatherings and (iii) Real-time social distance monitoring. All these modules are integrated and deployed on embedded hardware, NVidia's Jetson Nano. The implementation results are presented and analysis of the detection is done in real-time on the edge-AI platform. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.