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Performance Analysis of Automatic Integrated Long-Range RFID and Webcam System.

Minh-Duy Tran^1,2, Kha-Tu Huynh^1,2, Van-Hieu Pham^1,2

¹International University, Ho Chi Minh City, Vietnam.

SN Computer Science

|September 19, 2022

Summary

This study introduces an automated attendance monitoring system using ultra-high-frequency (UHF) RFID and facial recognition. The system enhances accuracy and efficiency for both online and offline classes, providing real-time updates and automated reports.

Keywords:

Analysis Attendance monitoring Face recognition High-definition camera RFID Real-time information system Statistics Web-based system

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Area of Science:

Educational Technology
Computer Science

Background:

Traditional attendance checking in universities is time-consuming and inefficient.
Automated systems are needed to improve accuracy and streamline the process.

Purpose of the Study:

To develop and evaluate an automated attendance monitoring system.
To enhance student performance evaluation through accurate attendance tracking.

Main Methods:

Utilizing ultra-high-frequency (UHF) RFID technology with four circularly polarized antennas.
Integrating a high-definition camera system for facial recognition.
Implementing a web-based information system for real-time updates and reporting.

Main Results:

The system achieves high accuracy in attendance checking for both offline and online classes.
Real-time monitoring and automated weekly reports provide valuable insights for lecturers.
Manual attendance checking is supported for exceptional circumstances.

Conclusions:

The proposed system offers a significant improvement over traditional methods.
It enhances the efficiency and accuracy of attendance monitoring in academic settings.
The system supports flexible learning environments and provides comprehensive data for educators.