IoT Based Auto-alert and follow-up of covid-19 cases in an Educational campus

Abstract

Since the corona outbreak, it has become very difficult to identify those who are affected by the virus or not. It can impact a lot of students if proper preventions not taken. To solve this issue, temperature devices are often used to measure body temperature. These devices have non-contact IR temperature sensors which can measure the body temperature without any physical contact and will update the security department. If the temperature of the person exceeds the threshold temperature and entry will be restricted in the campus by a barricade prototype followed up by facial recognition. Using temperature sensor (MLX90614) temperature of the person is recorded. If the temperature doesn’t exceed the threshold temperature the person can enter the campus. If the temperature of the person exceeds the threshold temperature an alert will be triggered and the sensor will capture the image of the person and match with the database of campus and the information is sent to security department and information regarding temperature violation. The information will be consisting of picture taken during checking of temperature, name, USN, department. We propose a low-cost internet of things (IoT)-enabled COVID-19 standard operating procedure (SOP) compliance system that counts the number of people entering and leaving vicinity, ensures physical distancing, monitors body temperature and warns attendees and managers of violations. The system comprises of multiple sensor nodes communicating with a centralized server. The data stored on the server can be used for compliance auditing, real-time monitoring, and planning purposes. The system does not record the personal information of students nor provide contact tracing information.