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For effective class attendance management, reducing human error, and increasing transparency, an automated atten- dance system is a crucial tool. In order to automate the procedure, this paper discusses a system that was created using Real-Time Face Recognition (RTFRS) and Radio Frequency Identification (RFID).
The system is implemented with a Flutter-based web interface for administrative functions, MongoDB as the database for student records, and Python as the main language for handling logic. In order to ensure correct attendance tracking for just those students present for the whole class period, the methodology includes real-time monitoring of student entries and exits against preset class period times. Through a dedicated web interface, the technology also makes it easier to handle student profiles, RFID tags, and facial recognition data.
"Attendance Monitoring System Through RFID and Face Detection", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 5, page no.c316-c317, May-2025, Available :http://www.ijrti.org/papers/IJRTI2505234.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator