Editorial
Smart Attendance System using Face Recognition
@ARTICLE{10.4108/eetsis.5203, author={Jayaraj Viswanathan and Kuralamudhan E and Navaneethan S and Veluchamy S}, title={Smart Attendance System using Face Recognition}, journal={EAI Endorsed Transactions on Scalable Information Systems}, volume={11}, number={5}, publisher={EAI}, journal_a={SIS}, year={2024}, month={2}, keywords={Computer Vision, Machine Learning, Face Recognition, Open CV, Facial feature extraction}, doi={10.4108/eetsis.5203} }- Jayaraj Viswanathan
Kuralamudhan E
Navaneethan S
Veluchamy S
Year: 2024
Smart Attendance System using Face Recognition
SIS
EAI
DOI: 10.4108/eetsis.5203
Abstract
Face recognition offers a wide range of valuable applications in social media, security, and surveillance contexts. The software used for building facial recognition algorithms is Python and OpenCV. "Attendance using Face Recognition" is a method for tracking and managing attendance that makes use of facial recognition technology. By seamlessly integrating the 'Face Recognition' module, a native Python feature, and the OpenCV library, our system excels in accuracy and dependability. The system then stores attendance records in a database and provides real-time reports. In this article, we demonstrate how to create a face recognition system in Python utilizing the built-in "Face Recognition" module and the OpenCV library. Our results show that our system achieves high accuracy and robustness while being efficient and scalable, catering to a wide spectrum of educational institutions, organizations, and enterprises.
Copyright © 2024 Jayaraj Viswanathan et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.
