An Analysis of the Automatic Attendance System’s Face Recognition Technology

• Version
• Download 5
• File Size 0.00 KB
• File Count 1
• Create Date 12 March, 2026
• Last Updated 12 March, 2026

An Analysis of the Automatic Attendance   System's Face Recognition Technology

Authors :Aishwarya M. Zade, Tejas K. Kawle, Pranjali R. Surjagade, Milind V. Lande

Doi : 10.46335/IJIES.2023.8.1.2

Abstract – In schools, colleges, and universities, an attendance system was put in place to maintain discipline and allow students to learn everything possible. In a particular class, students' attendance can be recorded using one of two traditional methods. One of them involves calling a roll number, and the second involves having students sign a piece of paper next to their roll number. In order to make this system more user-friendly, time-saving, and effective, it had to be developed. The faculty can take class attendance without interruption or wasting time thanks to this automated system. The concept has a wide range of applications, one of which is face identification, which will help save time and effectively identify and reduce the likelihood of proxy attendance. The primary goal of this project is to develop an automated attendance system using a Raspberry Pi 3B+, Open CV/Python libraries, and a recognizer algorithm. Any industry with an existing attendance system that is essential to that industry can use the proposed system. The project is best described as an engineering solution for all universities and colleges to track and manage attendance because the project objectives and design criteria were all met.