Experimental Design and Implementation of Fingerprint Based Exam Hall Authentication System with Temperature Sensing and Analysis using Internet of Things

摘要

The world is going through a global crisis due to the contemporary COVID 19 pandemic situations. In these taxing times, students have been severely affected. So our government has not compromised their future and has decided to conduct all competitive examinations. Thus, it becomes crucial for the students to register for the exams. However, the traditional exam hall authentication system does not assure that the students would not be exposed to the infection. So it is important to come up with a solution for this scenario. This paper presents a model in which the student’s registration and authentication happen using the fingerprint sensor and Atmega328 microcontroller in addition to recording the student’s body temperature by the LM35 temperature sensor. The data is transferred to a cloud server where it can be monitored and analyzed. The cloud server shall store the time of recording and the temperature of the student. If the temperature is higher than standard body temperature, an email alert is sent to the concerned authorities. The authorities can consequently take appropriate action and this would help in curbing the spread of the virus among the students present in the exam hall.