Real Time Face Recognition Attendance System Using Python and OpenCV

Authors

  • Jin Wei Yap Universiti Tun Hussein Onn Malaysia
  • Mohammed Saeed Jawad Universiti Tun Hussein Onn Malaysia

Keywords:

Attendance System, Face Recognition, Local Binary Patterns Histograms, Haar Cascades, OpenCV

Abstract

The Real Time Face Recognition Attendance System using Python and OpenCV is a desktop application that utilizes facial recognition technology to track and manage attendance. The system was developed to improve on the weaknesses of existing attendance management methods which use manual and paper as the medium for attendance management. A prototype model was used to develop this project. Meanwhile, system development is achieved by using VS Code software and a MySQL database. The programming language used is Python and the face recognition algorithm uses the Local Binary Pattern Histogram (LBPH).  The face detection is implemented by using the Haar Cascades classifier for object detection. In general, this system can help improve the effectiveness and efficiency of data management in educational institutions and keep it under control in an organized manner.

 

Author Biography

  • Mohammed Saeed Jawad, Universiti Tun Hussein Onn Malaysia

     

     

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Published

29-08-2024

Issue

Section

Articles

How to Cite

Yap, J. W., & Jawad, M. S. . (2024). Real Time Face Recognition Attendance System Using Python and OpenCV. Applied Information Technology And Computer Science, 5(1), 1310-1329. https://publisher.uthm.edu.my/periodicals/index.php/aitcs/article/view/12046