Attendance System using Facial Recognition
Title: Attendance System Using Facial Recognition
Permalink: attendance-system-using-facial-recognition
Description: This research presents an automated attendance system leveraging facial recognition technology to streamline attendance marking. Using detection and recognition algorithms, the system efficiently identifies individuals and updates records seamlessly, enhancing accuracy and convenience for educators and students.
Focus Keywords: Attendance, Facial Recognition, Haar Cascade, LBPH, OpenCV-Python, Automated Attendance System, high-impact factor journal, journal with a DOI
International Journal of Engineering and Techniques – Volume 10 Issue 2, March 2024
www.ijetjournal.org
ISSN: 2395-1303
Akash Mishra1, Piyush Kumar2
1Computer Science and Engineering, Parul University/PIT, Vadodara, Gujarat, India. Email: 200305105198@parulunivers.sity.ac.in
2Computer Science and Engineering, Parul University/PIT, Vadodara, Gujarat, India. Email: 200305105166@parulunivers.sity.ac.in
Abstract
This project proposes an automated attendance system using facial recognition to address the challenges of manual attendance marking. It aims to streamline the process, saving time for both instructors and students. By utilizing facial detection and recognition algorithms, the system identifies individuals and updates attendance records seamlessly.
Keywords
Attendance, Facial Recognition, Haar Cascade, LBPH, OpenCV-Python, Automated Attendance System
How to Cite
Akash Mishra, Piyush Kumar, “Attendance System Using Facial Recognition,” International Journal of Engineering and Techniques, Volume 10, Issue 2, March 2024.
Post Comment