Automated Attendance System Using Face Recognition
Shravani Dake, Shravani Dhenge, Namarata Khot, Samiksha Patil, Rajath S Bharadwaj, S Teju, Rao, T Vinay, Muralidhar Venkata Kalyan, Dheeraj Reddy, Mahitha Ravi, Sai, Ali Akbar, Chowdhary Obaid, Choudhary Yasir, Dr Reetha, Visu, Rohit Chavan, Baburao Phad, Sankalp Sawant, Vinayak Futak, Asha Rawat
Abstract
The "Automatic Attendance System Using Face Recognition" project is designed to enhance traditional attendance management methods by implementing a cutting-edge facial recognition technology.This system leverages computer vision and machine learning to automate the attendance-taking process, reducing manual effort and improving accuracy.The project encompasses the development of a robust facial recognition algorithm, integration with a user-friendly interface, and deployment of the system in educational institutions and corporate settings.It aims to improve attendance tracking efficiency and enhance security measures while preserving user privacy through careful data handling.Key features of the system include face detection and recognition, real-time data synchronization, and secure data storage.The facial recognition algorithm utilizes deep learning models to accurately identify and match faces within seconds.The "Automatic Attendance System Using Face Recognition" project offers a viable solution for modernizing attendance management across various sectors, contributing to increased efficiency, convenience, and security.This abstract provides an overview of the project's significance, methodology, and its potential to revolutionize traditional attendance tracking methods.