Smart attendance system integrates facial recognition to improve attendance accuracy and efficiency in educational settings.
Traditional attendance management methods, including manual registers, RFID-based systems, and biometric devices, are increasingly inadequate for modern educational environments due to susceptibility to proxy attendance, administrative inefficiency, and limited scalability. This paper presents a Smart Attendance System leveraging Raspberry Pi 4 as an edge computing platform, integrating real-time facial recognition with a centralised web-based management dashboard. Face detection and 128-dimensional encoding use the OpenCV and face_recognition libraries; a Flask RESTful backend stores records in PostgreSQL. The system achieves over 92% recognition accuracy with sub-350 ms latency at a hardware cost of INR 11,097.
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Ranaware et al. (2026) studied this question.
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