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International Journal of Advanced Research in Computer and Communication Engineering
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
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← Back to VOLUME 15, ISSUE 4, APRIL 2026

SMART ATTENDANCE BASED ON FACE RECOGNITION USING RASPBERRY PI AND GSM MODULE FOR HOME INTIMATION

N. Syam, T. Ravindra Sai, G. Chinna Jagapathi Swamy, K. M. Priyadarshini

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Abstract: The Smart Attendance System based on face recognition using the Raspberry Pi 4 and GSM module is an automated solution for attendance management. The system captures real-time facial images of students and identifies them using face detection and recognition algorithms. Attendance is recorded automatically with date and time, reducing manual effort and preventing proxy attendance. The system also integrates a SIM900A GSM Module to send SMS notifications to parents, improving communication and transparency. All data is stored in a database and managed through a web application, allowing administrators to monitor and control attendance efficiently. The system is cost-effective, reliable, and suitable for educational institutions.

Keywords: Face Recognition, Smart Attendance System, Raspberry Pi, GSM Module, Automated Attendance, Computer Vision, Deep Learning, YOLOv8, FaceNet, DeepFace, Embedded Systems, Real-Time Monitoring

How to Cite:

[1] N. Syam, T. Ravindra Sai, G. Chinna Jagapathi Swamy, K. M. Priyadarshini, β€œSMART ATTENDANCE BASED ON FACE RECOGNITION USING RASPBERRY PI AND GSM MODULE FOR HOME INTIMATION,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2026.15448

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