This paper is published in Volume-10, Issue-6, 2024
Area
Software Engineers
Author
Soni Kumari, Piyush Kumar
Org/Univ
Galgotias University, Greater Noida, Uttar Pradesh, India
Keywords
QR-Attendance Systems, Geo-Location Verification, Educational Technology, Student Authentication, Real-Time Attendance Tracking, Location-Based Services
Citations
IEEE
Soni Kumari, Piyush Kumar. QR-Attendance System with Geo-Location, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Soni Kumari, Piyush Kumar (2024). QR-Attendance System with Geo-Location. International Journal of Advance Research, Ideas and Innovations in Technology, 10(6) www.IJARIIT.com.
MLA
Soni Kumari, Piyush Kumar. "QR-Attendance System with Geo-Location." International Journal of Advance Research, Ideas and Innovations in Technology 10.6 (2024). www.IJARIIT.com.
Soni Kumari, Piyush Kumar. QR-Attendance System with Geo-Location, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Soni Kumari, Piyush Kumar (2024). QR-Attendance System with Geo-Location. International Journal of Advance Research, Ideas and Innovations in Technology, 10(6) www.IJARIIT.com.
MLA
Soni Kumari, Piyush Kumar. "QR-Attendance System with Geo-Location." International Journal of Advance Research, Ideas and Innovations in Technology 10.6 (2024). www.IJARIIT.com.
Abstract
The study outlines the development, deployment, and assessment of an innovative attendance management system based on QR codes integrated with geo-location verification specifically for educational institutions. This system addresses key shortcomings of traditional attendance tracking by incorporating Quick Response (QR) technology alongside geo-location validation and real-time photo capture. Through an extensive evaluation conducted with 500 students over three academic terms, the system achieved a 99.2% accuracy rate in tracking attendance. It reduced fraudulent attendance attempts by 97% compared to assessing academic performance. Conventional methods like manual roll-calls and card-based systems face substantial challenges related to efficiency, accuracy, and preventing fraud. Recent research suggests that around 15-20% of attendance records in traditional systems may be unreliable due to proxy attendance (Johonson et al., 2023).