Facial Recognition Attendance System

Authors

  • Javed Oad Quaid-e-Awam University of Engineering, Sciences & Technology
  • Erum Afridi Quaid-e-Awam University of Engineering, Science and Technology, Nawabshah
  • Mir Alam Bhatti Quaid-e-Awam University of Engineering, Science and Technology, Nawabshah
  • Bakhtiar Ali Quaid-e-Awam University of Engineering, Science and Technology, Nawabshah
  • Lubna Tariq Quaid-e-Awam University of Engineering, Science and Technology, Nawabshah
  • Saira Soomro Quaid-e-Awam University of Engineering, Science and Technology, Nawabshah
  • Allah Wasayo Malik Quaid-e-Awam University of Engineering, Science and Technology, Nawabshah

Keywords:

Facial Recognition, Class Attendance System, Local Binary Pattern Histogram (Lbph), Attendance Updating, Faculty Notification

Abstract

Facial recognition technology is increasingly being used to enhance automation in various sectors like education. This paper presents the development of a class attendance system that leverages facial recognition to address limitations in traditional manual attendance methods, such as time consumption and susceptibility to proxy attendance.

This proposed system comprises four main stages: database creation, face detection, face recognition, and attendance updating. A database of student images is ready, after which Haar-Cascade classifiers and Local Binary Pattern Histogram (LBPH) algorithms are used for face detection and recognition in real-time classroom video streams. then The system automatically records attendance and forwards the data to faculty members at the end of each session.

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Published

2025-05-25

How to Cite

Oad, J., , E. A., Mir Alam Bhatti, Bakhtiar Ali, Lubna Tariq, Saira Soomro, & Allah Wasayo Malik. (2025). Facial Recognition Attendance System. International Journal of Innovations in Science & Technology, 7(6), 196–203. Retrieved from https://journal.50sea.com/index.php/IJIST/article/view/1377

Issue

Vol. 7 No. 6 (2025): Special Issue CSET'25

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Articles

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