GateSense: A Smart Continuous Attendance System
DOI:
https://doi.org/10.61779/jasetm.v4i1.7Keywords:
IoT, ESP32, Biometrics, RFID, Sensor Fusion, Continuous Attendance, Finite State Machine, FirebaseAbstract
GATESENSE is an IoT-based classroom attendance system designed to address two key limitations of conventional methods: the loss of approximately 10 minutes of lecture time per hour consumed by manual roll calls, and the inability to verify continuous student presence beyond an initial check-in. The system employs an ESP32 DevKit V1 as the central microcontroller, integrating an R307S optical fingerprint sensor for biometric entry authentication, a dual IR sensor array for bidirectional movement detection, and an RC522 RFID reader for mandatory exit validation. A finite state of machine implemented in embedded C++ governs all state transitions. Movement events are pushed in real time to a Firebase cloud database, where a Vite-based web dashboard provides period-wise attendance analytics for students and administrators. Testing over 100 controlled trial cycles at FISAT demonstrated a directional detection accuracy of 98% and an average cloud synchronisation latency of 1.5 seconds. The system reduced active faculty effort for attendance to zero during entry, recovering approximately 70 minutes of instructional time per seven-period academic day. These results suggest that the proposed architecture offers a cost-effective and scalable alternative to existing RFID-only or facial-recognition-based systems.
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Copyright (c) 2026 Abhirami N.K., Amidha K.C., Ann Moni George, Shafin Sharaf A.P., Leena Thomas
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