Abstract:
The "IoT-Based Attendance System Using RFID and Fingerprint" project is an innovative solution aimed
at automating attendance tracking within educational institutions or businesses using IoT, with clear
motivation and scope. The system uses Radio Frequency Identification (RFID) technology and
fingerprinting to identify and authenticate individuals without requiring direct contact and then logs the data
to the database of the website with the help of Wi-Fi modules.
The proposed methodology includes an RFID reader, RFID tags, Fingerprint Sensor, and a central
database that stores all attendance records using a website. Each individual is assigned his fingerprint and a
unique RFID tag that they carry with them, and the device is located at the entrance of the classroom or
workplace, scans the tags, and records attendance in the database.
The system's main objectives are to be user-friendly, efficient, and accurate, and it eliminates manual
attendance tracking, which can be time-consuming and error-prone. Real-time attendance data is also
available, which enables educators and managers to monitor attendance and take appropriate action when
absenteeism or lateness is detected.
The innovative IoT-based Attendance System we designed automates attendance tracking in educational
institutions using RFID and fingerprint technology. Findings show improved accuracy, efficiency, and
security, leading to streamline administrative processes and cost savings. Real-time monitoring and data
analytics capabilities further empower decision-making via a web application connected to a centralized
database. Overall, Our system achieved all of these aims.
