AUTOMATIC STUDENT ATTENDANCE SYSTEM USING FACE RECOGNITON

Abstract

In this digital era, the face recognition system plays a significant role in almost every sector. Face recognition is one of the foremost used biometric. It is used for security, authentication, identification, and possesses many advantages. Also, the facial recognition system is one of the most convenient ways to attend university today. A big portion of the time allocated to a college for teaching purposes is consumed on the task of taking attendance of the scholars. A student attendance system is required to live student participation in a very course. This is often a problem because it takes the precious time of teachers which may well be spent on more productive tasks like teaching and interacting with students. This paper presents the detailed implementation of a real-time roll call system supported by face recognition and its results.

This paper proposed the Automatic Student Attendance System Using Face Recognition which keeps track of scholars attending a specific class. To acknowledge a student’s face, the system must first, take and save an image of the code as a reference in an exceedingly large database. During the roll call, the photos take face pictures for a student to be recognized, so the pc automatically detects the face and identifies a student name who possibly matches the images, and eventually, an Excel file is exported for attendance records to support the face recognition results. Within the system, a pre-trained CODESYS model is employed to detect faces from photos. A survey has been conducted to research the pros and cons of the attendance system on college education management.