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Facial Recognition Attendance System

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  • Javed Oad,Erum Afridi, Mir Alam Bhatti, Bakhtiar Ali, Lubna Tariq, Saira Soomro , Allah Wasayo Malik

    (Computer Science Quaid e Awam University of Engineering, Sciences & TechnologyNawabshah, Sindh, Pakistan)

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

Suggested Citation

  • Javed Oad,Erum Afridi, Mir Alam Bhatti, Bakhtiar Ali, Lubna Tariq, Saira Soomro , Allah Wasayo Malik, 2025. "Facial Recognition Attendance System," International Journal of Innovations in Science & Technology, 50sea, vol. 7(6), pages 196-203, May.
    • Handle: RePEc:abq:ijist1:v:7:y:2025:i:6:p:196-203
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