Reflecting Ease and Efficient Attendance Tracing System
The Attendance Tracing System using Face Recognition is a solution designed to solve the major limitations of conventional attendance tracking methods, such as manual roll calls and proxy attendance. The proposed system uses advanced facial recognition technology and real-time processing to automate attendance marking, hence ensuring accuracy and reducing human intervention. It is developed as a web application using the Flask framework and Python's face recognition library, integrating features such as on-time and late attendance marking, automated notifications to teachers and students, and detailed reporting. The system aims to promote punctuality and eliminate the most common challenges in educational institutions by offering a seamless, efficient, and secure process for tracking students’ attendance.
Authors
- Samar K. Das (ORCID: https://orcid.org/0000-0002-9536-6579)
- J. Yashwanth
- Gopalakrishnan Kumar (ORCID: https://orcid.org/0000-0002-7848-5138)
- Surya Prakash (ORCID: https://orcid.org/0000-0001-8039-1280)
- B. Lakshmi
- T Yashwini
Institutions
- ASA College (US)
Publication Details
- Published
- 2025-05-14
- DOI
- https://doi.org/10.1109/icpcsn65854.2025.11034775
- Primary Topic
- IPv6, Mobility, Handover, Networks, Security
- Type
- article
- Field-Weighted Citation Impact
- 0.00