Smart Attendance System Using QR Code with Raspberry Pi

Authors

  • D. Divakar, P. Pujitha, R. Balakrishna, R. Karishma, Ch. Jithendra, G. Manmadha Leela Author

DOI:

https://doi.org/10.64751/b9s9z895

Keywords:

QR Code, Attendance System, Raspberry Pi, OpenCV, Automated Attendance, Embedded Systems

Abstract

Traditional manual attendance recording in educational institutions is time-consuming, error-prone, and inefficient. This paper presents a Smart Attendance System using QR Code technology integrated with Raspberry Pi. Each student is assigned a unique QR Code encoding their ID and course information. A Pi Camera connected to the Raspberry Pi scans QR Codes, decodes student information using OpenCV, records timestamps, and updates attendance records in real-time. The system generates automated attendance reports exportable to Excel format. Evaluation demonstrates 98.7% QR Code detection accuracy, 0.8-second processing time per scan, and 95% reduction in attendance recording time compared to manual roll-call methods, while providing tamper-proof digital records

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Published

2026-03-28

How to Cite

Smart Attendance System Using QR Code with Raspberry Pi. (2026). International Journal of AI Electronics and Nexus Energy, 2(1), 328-332. https://doi.org/10.64751/b9s9z895

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