AI-Based Attendance System

Abstract

This paper presents an AI-based face recognition system for efficient and accurate attendance tracking. The system employs state-of-the-art computer vision algorithms to detect and recognize faces in real-time. A database is maintained to store and manage the facial features of registered individuals for comparison during recognition. The system automatically marks attendance based on recognized faces, eliminating the need for manual entry and reducing errors. Real-time monitoring is provided to track attendance status and generate alerts for anomalies. The system is designed to integrate seamlessly with existing systems, such as Student Information Systems (SIS) or Human Resource Management Systems (HRMS). Security and privacy measures are implemented to protect the system's integrity and ensure individuals' facial data privacy. The system is scalable and flexible, allowing for easy expansion to accommodate growing users or locations. The proposed system offers a reliable, efficient, and user-friendly solution for tracking attendance in various organizations and settings.