Research Article
Smart Attendance System using Face Recognition and RFID Technology
@INPROCEEDINGS{10.4108/eai.7-12-2021.2314721, author={Vignesh Kanna P and Anusuya K.V and Vaishnavi P}, title={Smart Attendance System using Face Recognition and RFID Technology}, proceedings={Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India}, publisher={EAI}, proceedings_a={ICCAP}, year={2021}, month={12}, keywords={android application attendance system aws face recognition firebase raspberry pi rfid}, doi={10.4108/eai.7-12-2021.2314721} }- Vignesh Kanna P
Anusuya K.V
Vaishnavi P
Year: 2021
Smart Attendance System using Face Recognition and RFID Technology
ICCAP
EAI
DOI: 10.4108/eai.7-12-2021.2314721
Abstract
RFID, Fingerprint identification, and Iris identification techniques are used to register attendance in industries and organizations. Among all these personal identification strategies, face recognition consumes less time and is highly efficient. It has several applications in attendance management systems and security systems. In this work, a system is implemented that takes attendance for students and staff during their entry into classes or campus, employees in industries, etc, using RFID and face recognition technology. A time period can be set for taking attendance using the dashboard application which is developed using android and the database is automatically uploaded into the webserver through internet connectivity. This process is done without any human intervention. In this system, a Raspberry Pi is installed with OpenCV library and a Camera module is connected for facial Detection and Recognition. Also, an RFID reader is connected to read and verify the person's identity. The data is stored in the Firebase Database and can be accessed through Python programming. The attendance gets updated in the database and can be viewed through the developed Android application.
