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RFID & Face Recognition Based Smart Attendance System Using Raspberry Pi
Subject area: Science,Engineering and Technology · Area of research: RFID & Face Recognition Attendance Systems
DOI: https://doi.org/10.64388/IREV9I10-1716411
Abstract
Smart attendance systems that use radio frequency identification (RFID) and facial recognition technology are cutting edge solutions for automating and securing the recording of attendance. Proxy attendance is common and conventional attendance techniques are tedious. For reliable identification, this system combines RFID with Raspberry Pi-based real-time facial recognition. The device takes a picture of the user and checks it using a facial recognition algorithm whenever they scan their RFID card. In order to indicate attendance, both credentials must be same. Educational institutions and companies benefit from the system's increased dependability, less manual labor, and enhanced security. A secure, automated, and time-saving approach to controlling attendance is the smart attendance system that uses radio frequency identification and facial recognition technology. A combination of hardware components such as a Raspberry Pi, USB camera, RFID reader, LEDs, buzzer, and LCD and software technologies such as face recognition and cloud-based messaging allows the system to reduce human contact and eradicate fraudulent attendance. This innovative method of reliable and accurate attendance monitoring might be useful for any kind of institution, including but not limited to schools, colleges, workplaces, and organizations.
Keywords
RFID, Face Recognition, Raspberry Pi, Smart Attendance System, Biometric Authentication, OpenCV, LBPH Algorithm, Computer Vision
How to cite this paper
@article{1716411,
author = {Kaviti Sethu Madhav, Korvi Manish, R. Srinivas, Velpula Shashidhar, N. Ramesh Babu},
title = {RFID & Face Recognition Based Smart Attendance System Using Raspberry Pi},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {10},
pages = {1264-1270},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1716411.pdf},
abstract = {Smart attendance systems that use radio frequency identification (RFID) and facial recognition technology are cutting edge solutions for automating and securing the recording of attendance. Proxy attendance is common and conventional attendance techniques are tedious. For reliable identification, this system combines RFID with Raspberry Pi-based real-time facial recognition. The device takes a picture of the user and checks it using a facial recognition algorithm whenever they scan their RFID card. In order to indicate attendance, both credentials must be same. Educational institutions and companies benefit from the system's increased dependability, less manual labor, and enhanced security. A secure, automated, and time-saving approach to controlling attendance is the smart attendance system that uses radio frequency identification and facial recognition technology. A combination of hardware components such as a Raspberry Pi, USB camera, RFID reader, LEDs, buzzer, and LCD and software technologies such as face recognition and cloud-based messaging allows the system to reduce human contact and eradicate fraudulent attendance. This innovative method of reliable and accurate attendance monitoring might be useful for any kind of institution, including but not limited to schools, colleges, workplaces, and organizations.},
keywords = {RFID, Face Recognition, Raspberry Pi, Smart Attendance System, Biometric Authentication, OpenCV, LBPH Algorithm, Computer Vision},
month = {April},
doi = {https://doi.org/10.64388/IREV9I10-1716411}
}