Automated Attendance Capture and Tracking System

The increasing number of students in colleges or universities is becoming a challenge for the lecturers especially when taking their attendance. Besides that, some students might just come to get their attendance marked and then leave the class. As existing systems do not track the students before marking their attendance, students are able to leave the class once their attendances are taken, resulting in the attendance taken by the system to be not accurate. Hence, in this paper, a tracking algorithm which will ensure that the students were actually present for certain duration of time before having their attendance taken by the system is proposed, resulting in a more accurate attendance capturing system. This system employs the Viola-Jones method for the face detection algorithm and Eigenfaces method for the face recognition algorithm. The tracking was done by allocating points to students who were successfully recognized and then dividing the total point for each student with the system’s counter that represents the total time of the lecture. The proposed system was able to achieve a 78% attendance marking accuracy. From the results obtained, it is found that the system is able to verify that the students are present for a set duration of time before marking their attendance which improves the accuracy of the attendance capture system.