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A conceptual model for automated attendance marking system using facial recognition

Attendance marking in a classroom during a lecture is not only burdensome but also a time consuming task. Due to a usual large number of students present in the lecture hall there is always a possibility of proxy attendance. It is extremely difficult for lecturers to manually identify the students who skip their lectures on regular basis. Attendance management of students through the conventional methods had been a challenge in the recent years. The growing need of efficient and automatic techniques of marking attendance is a growing challenge in the area of face recognition. In recent years, the problem of automatic attendance marking has been widely addressed through the use of standard biometrics. However, majority of the previously proposed techniques lack the element of reliability. The focus of this research is to analyze and critically evaluate the recent attendance marking techniques using face recognition methods. Literature review reveals the fact that the intelligent application of iterative facial recognition techniques can make attendance management systems more reliable. In this paper, we propose a conceptual model for automated attendance system through facial recognition. Our proposed model uses an integral validation process which enhances the reliability of your model.