Facial Recognition Attendance System

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

International Journal of Innovations in Science & Technology, 2025, vol. 7, issue 6, 196-203

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

Keywords: Facial Recognition; Class Attendance System; Local Binary Pattern Histogram (Lbph); Attendance Updating; Faculty Notification (search for similar items in EconPapers)
Date: 2025
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