Automated Smart Attendance Monitoring And Load Cutoff Using Ultra High Frequency RFID
Author(s):
VIJAY VIGNESH.S, THENMUGILAN.E, SATHISH KUMAR.M, UGGUMUDI VISHNU VARDHAN, Dr.R KARPAGAM
Keywords:
RFID; Internet of Things; WiFi network; education management
Abstract
The main objective of this project is to automatically record the attendance of the students, using active RFID tags. Each student is provided with his/her authorized RFID tag. The serial number of each tag is associated with each student’s database. The active RFID readers are capable of detecting the tags within a predefined perimeter. The system is incorporated with a IOT module which is used to send reports of the absent students to their parents and by this, the parents are aware of the activities of their wards. This increases the credibility of the system. According to the space of the classroom the range of the reader is determined. This system can be used to create many types of reports like daily attendance details, monthly, weekly and real time feedback to parents. The attendance score calculation can be automated using the collected data. The lecturer can grade the student’s attendance scores in a particular course based on some specific metrics like frequency of presence in class, duration of stay in class, punctuality as the database will also contain the details of the student’s entry and exit time. The concerned faculty can de-assign students from their specific tag, and reassign the tag to other students if needed. And hence the same tag can be used by many students once the course duration of one student is over. The application of RFID to student attendance monitoring as developed and deployed in this project is capable of eliminating time wasted during manual collection of attendance and an opportunity for the educational administrators to capture face-to-face classroom statistics for allocation of appropriate attendance scores and for further managerial decisions.
Article Details
Unique Paper ID: 147695

Publication Volume & Issue: Volume 5, Issue 10

Page(s): 282 - 288
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