Publication

Abstract : The objective of the paper is to monitor the temperature of students at the entrance and take the necessary steps quickly to overcome the spread of COVID-19. The proposed system consists of a Contactless IR Infrared Temperature Sensor Mlx90614, a NodeMcu, RFID Receiver, RFID Tags and a Buzzer. The Contactless IR Infrared Mlx90614 Temperature Sensor helps in predicting the body temperature. If the temperature range exceeds the normal limit, it stops allowing the person to enter the academic premises. This is done by Machine Learning algorithms. The Temperature is predicted by the ML algorithms and a notification is sent to the Incharge through IFTTT. This implementation helps to stop the spread of COVID-19 and acts as a prevention measure. A unique RFID receiver placed near the entrance aids in the identification of the corresponding student by scanning a unique RFID tag. The ID matches with the database and predicts the contact details, which are sent to the in-charge via SMS. For intelligence decision-making, machine learning is applied to analyze the temperature history for corresponding students from the database, which helps to enable us to accurately detect the affected range. The NodeMCU acts as the brain of the circuit, It controls and processes the data collected from the RFID tag and the wireless temperature sensor. Also, it connects with the IoT cloud using a Wi-Fi module. The buzzer is used to alert the student when the temperature measured is higher than the threshold temperature level. The servo motor is used to control the opening and closing of the door. Thus, the system helps to identify the high-temperature person and stop allowing them into the college premises.