IJ
IJCRM
International Journal of Contemporary Research in Multidisciplinary
ISSN: 2583-7397
Open Access • Peer Reviewed
Impact Factor: 5.67

International Journal of Contemporary Research In Multidisciplinary, 2026;5(3):611-617

Smart Attendance System: A Raspberry Pi-Powered Face Recognition and Automated Attendance Management System Using Webcam Integration

Author Name: Prof. Amarsinha Ashokrao Ranaware;   Mayuresh Dharmadhikari;   Priti Kumbhar;   Sejal Galage;   Mayuri Kadam;  

1. Department of Electronics & Telecommunication Engineering, PES's College of Engineering, Phaltan, Maharashtra, India

2. Department of Electronics & Telecommunication Engineering, PES's College of Engineering, Phaltan, Maharashtra, India

3. Department of Electronics & Telecommunication Engineering, PES's College of Engineering, Phaltan, Maharashtra, India

4. Department of Electronics & Telecommunication Engineering, PES's College of Engineering, Phaltan, Maharashtra, India

5. Department of Electronics & Telecommunication Engineering, PES's College of Engineering, Phaltan, Maharashtra, India

Abstract

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.

Keywords

face recognition, Raspberry Pi, attendance automation, edge computing, OpenCV, Flask, PostgreSQL, smart classroom.