Published Paper Details:

In this digital era, face recognition systems plays a vital role in almost every sector. Face recognition is one among the mostly used biometrics. It can used for security, authentication and identification. As compare to iris recognition and fingerprint recognition, it is being widely used because of its noncontact and non-invasive process. Face recognition system also can be used for attendance marking in schools, colleges, offices, etc. This method aims to make a class attendance system which uses the concept of face detection and face recognition as existing manual attendance system is time consuming and also there is a chances of proxy attendance. Thus, the need for this system increases. So, in the present situation created by Covid-19 pandemic, temperature and oxygen level measurement is also important to allow the students to attend the class. We propose a concept where together with face recognition, temperature and oxygen level is measure to mark the attendance record and also, sanitization system is added for safety purposes. This system will design using ultrasonic sensors, temperature sensor, oximeter, camera module that is interfaced with Raspberry Pi. In this manner attendance are often marked automatically and at an identical time system can scan individual student to spot potential patients of Covid-19.