Implementation of Face Recognition in Attendance System
Shatrunjay Kumar, Nethra H L , Shashank Dubey, Sridhar Srinath, Sudarshan Singh
Image processing, face recognition technology, face recognition, attendance system
The Attendance Management System based on Face Recognition (FRAMS) represents a groundbreaking approach crafted to simplify and automate the conventional attendance tracking procedures across diverse educational and corporate environments. Utilizing cutting-edge facial recognition technology, FRAMS offers a secure, effective, and user-friendly approach to precisely record and manage attendance data. Employing advanced deep learning algorithms, the system engages in the identification and authentication of individuals based on their facial features. Through the utilization of a repository containing pre-registered faces, the system guarantees a high degree of accuracy and reliability in attendance tracking, obviating the necessity for manual recording techniques like paper-based systems or swipe cards.
Article Details
Unique Paper ID: 162129

Publication Volume & Issue: Volume 10, Issue 8

Page(s): 75 - 80
Article Preview & Download

Share This Article

Join our RMS

Conference Alert

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

Call For Paper

Volume 11 Issue 1

Last Date for paper submitting for Latest Issue is 25 June 2024

About Us enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on

Social Media

Google Verified Reviews