Sensor and IoT-Based Belt to Detect Distance and Temperature of COVID-19 Suspect

Abstract

Owing to the pandemic issue of the coronavirus disease 2019 (COVID-19), it is imperative to keep up more than 1-m of social distancing and 37.5 °C temperature to stop the transmission of COVID-19 from human to human. Therefore, it is utmost requirement to make the smart belt installed with ultrasonic and LM35 sensors for distance and temperature measurements to reduce the transmission of COVID-19, respectively. The embedded sensors with NodeMCU show that once anything come in the proximity of 1-m near to the smart belt or helmet fixed to human body, it automatically makes an alarm for distance contact as well as temperature of incoming/outgoing body and sends an email to the controller with the help of Blynk application through Internet of things (IoT). These data can be stored in the cloud for the future purpose. However, the distance sensor has detected the movement of a person from 3 cm up to around 240 cm. The LM35 temperature sensor measures the actual temperature of the host body, i.e., 35.4 °C with time. With the help of this research, it is possible to interface a camera module which can detect the suspects. It could be interfaced with global positioning system (GPS) which can give location-wise data and help us to obtain the probability of suspects at a particular region. It is cost effective, i.e., $14/belt which can help to control the transmission of coronavirus from human to human.