IoT-based COVID-19 Suspect Smart Entrance Monitoring System

The concept of the Internet of Things (IoT) encompasses the connection and monitoring of various remote objects in the real world through the Internet. The COVID-19 is very infectious, and it spreads super-fast by contacting other COVID infected people. There have been few works on COVID detection and prevention in resent time. However, none of the existing works proposed any automatic IoT-based remote blocking system so our work is an autonomous system to stop entering in the campus the COVID suspected. The aim of this work is to detect COVID-19 suspect people and stop them from contacting other people. The proposed system is implemented by using IoT devices. The proposed system first measures the body temperature and Second measures blood oxygen level checks whether it exceeds the World Health Organization (WHO) recommended body temperature and blood oxygen level. In case of high body temperature or low blood oxygen level, the system blocks the person from entering the campus and sends an email to the suspected people notifying their illness. The most advantage of our system is working autonomously, cost-effective, and easy to implement on any campus or office.