Attendance marking in a classroom during a lecture is not only burdensome but also a time-consuming task. Due to a usually 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 a regular basis. Attendance management of students through the conventional methods had been a challenge in the recent years. In this method, the camera is fixed in the classroom and it will capture the image, the faces are deleted and then it is recognized with the database and finally, the attendance is marked. In this paper, we propose a conceptual model for automated attendance system through facial recognition.