Automatic Attendance Recorder Using Facial Recognition

Abstract

A modern school or business firmly understands how challenging it is to track students’ attendance. It requires a plethora of effort and time to get the attendance without any mistake and fraud. These days, taking attendance by hand has a number of problems. but this paper discusses an Automated Attendance System (AAS) Made Using One solution to the aforementioned problems is facial recognition technology. We aim to develop and create a seamless and contactless process that facilitates the effective recording of attendance by utilizing state-of-the-art image processing and machine learning technologies to recognize and authenticate people. This system follows some simple basic protocols of how registration of a student works. First the students would go through a registration corpus and have their facial images clicked and with this data an embedding would be formed which would serve as a template for later phases. The template would be a sort of reference for the devices and would allow the students to not be bottlenecked and aid the staff with efficient attendance tracking. The teacher can only log in with a session password encoded through email and while logging in the system requires the teacher to enter his password. Through a student module, the system keeps track of all student information in one location and all student information is easily accessible. The possibility of proxy attendance would be eliminated.