COVID-19 infection has been one of the fastest spreading pandemics of the 21st century. Having claimed over 4.5 million lives, the virus is still at the high potential of further mutation and rapid spreading. Although Some vaccines have been discovered and administered to prevent fatalities, they are sometimes found to be ineffective against the newer variants. Moreover, the vaccines are not meant to slow down the speed of the virus, rather it is meant to prevent severe cases and fatalities. Therefore, it is extremely important to minimize the rate of spreading, especially in the case of new variants. The spread can be minimized by wearing mask in densely populated areas, making public places disinfected and also isolating infected persons from the rest as soon as possible. Therefore, in this research, a system is designed to automatically check for people without wearing masks, disinfect surfaces and also it can successfully identify infected people as early as possible with an accuracy of up to 69% cases. Even when the system is not certain that the person is infected, it still provides a precautionary warning that the person might be infected. With the continuous collection of the diagnostic data from this research, it is expected that COVID-19 infected patients will be quickly identified and maintain the safety of everyone. © 2021 IEEE.
Design and Development of a Disinfecting System for COVID-19