INTELLIGENT LOW-COST PRELIMINARY IDENTIFICATION OF COVID-19 USING IOT

ABSTRACT

The World Health Organization(WHO)has proclaimed a worldwide health emergency of international concern due to the coronavirus (COVID-19)disease outbreak. This viral outbreak has caused more than 2,863,225 deaths in the world. It has spread over into all areas of the globe. Excessive national and international action is being taken to stop the outbreak. The WHO suggested taking the necessary steps and measures to reduce the risk of the disease or importation.WHO's suggested measures are not to contact the infected person and do not touch the frequently used areas. People are observing these suggestions, but it is still spreading. The process of vaccination around the world has started. Coronavirus disease can be avoided or stopped, with the instant widespread of internet technologies. Current Internet of Things (IoT) developments on coronary virus protection is discussed in this paper from a fever control point of view on airports, religious sites, borders, events, etc. The design of the technique developed in this paper is a very low-cost remote temperature monitoring system model IoT Naïve Bayesian (INB) which measures body temperature by the sensor with infrared rays, processes and learns intelligently with Naïve Bayesian System and sends the data to a cloud system without any human intervention. It is extremely useful in preventing the epidemic on airports, religious sites, border crossings, and activities, among other places.