AI Based Smart Recognition System for Class Attendance

Authors: Dhruv Rokade, Sairaj Matsagar, Shrutika Deore, Tanvi Dhuri, A. V. Dighe

Country: India

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Abstract: Attendance management in educational institutions is still largely handled using manual methods such as roll calls or sign sheets, which are time-consuming, error-prone, and allow problems like proxy attendance. To overcome these limitations, this project presents a Smart Attendance System that uses facial recognition technology to automatically identify students and mark their attendance.
The system allows teachers to capture live classroom images or upload photos, from which student faces are detected and matched with stored records. Once recognized, attendance is marked automatically and stored in a centralized database. The platform supports three types of users Admin, Teacher, and Student. Administrators can manage users and monitor attendance data, teachers can conduct and review attendance sessions, and students can log in to view their attendance records, promoting transparency.
By automating attendance through artificial intelligence and computer vision techniques, the proposed system reduces manual effort, improves accuracy, and prevents false entries. The solution provides a reliable and scalable approach to attendance management and offers a strong foundation for future smart classroom applications.

Keywords: Smart Attendance System, Facial Recognition, Automated Attendance, Computer Vision, Artificial Intelligence, Student Management System, Real-Time Identification, Educational Technology, Web-Based System.

Paper Id: 233050

Published On: 2026-04-13

Published In: Volume 14, Issue 2, March-April 2026

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