Smart Attendence System Using IOT and Face Verification
This project introduces a Smart Attendance System that utilises Face Verification Technology and the Internet of Things (IoT) to provide a scalable, safe, and efficient way to track attendance in a range of contexts. This creative method automates the attendance process without requiring face-to-face interaction by using IoT-enabled high-resolution cameras and sophisticated facial recognition algorithms to record and validate people's identities. This Smart Attendance System leverages advanced technologies like the Internet of Things (IoT) and Face Verification to provide an efficient, touchless, and secure attendance solution. By utilizing IoT-enabled high-resolution cameras and cutting-edge facial recognition algorithms, it accurately records and authenticates individuals in real-time. The system can be further enhanced with mobile app integration, offering features such as instant notifications for attendance updates, automated absence alerts, and remote access to attendance data, making it ideal for various environments like educational institutions, offices, and large-scale events
Authors
- S. Banumathi
- M. Shobana (ORCID: https://orcid.org/0000-0002-9075-9541)
- S. Dinesh (ORCID: https://orcid.org/0000-0002-9663-0650)
- G Chittrarasu
- C Sanjayraj
- Shishu Sharma S
Publication Details
- Published
- 2025-04-29
- DOI
- https://doi.org/10.1109/aimla63829.2025.11040206
- Primary Topic
- IoT and GPS-based Vehicle Safety Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00