Dynamic & Intelligent Student Attendance Maintenance Based on Face Recognition
Liza M Kunjachen1, Mhd Faheem Khan2, Piyush Kumar3, Rahul Ranjan4, Sneh Pallav5

1Liza M Kunjachen*, Assistant Professor of Information Technology in SRM IST, Chennai, Tamil Nadu, India.
2Mhd. Faheem Khan, Department of Information Technology,SRM IST, Chennai, Tamil Nadu, India .
3Piyush Kumar, Department of Information Technology, SRM IST, Chennai, Tamil Nadu, India.
4Rahul Ranjan, Department of Information Technology, SRM IST, Chennai, Tamil Nadu, India.
5Sneh Pallav, Department of Information Technology, SRM IST, Chennai, Tamil Nadu, India.
Manuscript received on February 10, 2020. | Revised Manuscript received on February 21, 2020. | Manuscript published on March 10, 2020. | PP: 399-403 | Volume-9 Issue-5, March 2020. | Retrieval Number: E2285039520/2020©BEIESP | DOI: 10.35940/ijitee.E2285.039520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The proposed system generally results a solution to some of the problems which occurs in colleges and schools by providing a monitoring camera with the help of “Artificial Intelligence (AI)” . The main problem which can be occurred is wastage of time in taking the attendance manually or through any biometric sensors. The next problem which can be solved is to control the usage of electricity in classrooms when students are not in class. When the videos are getting recorded with the help of monitoring cameras, at the same time the head counting and face detection of the students present will also be done. When the strength of the class is zero ,the head counting also results to zero. The electricity can also be saved at the same time when people are not present in the classroom. The face recognition is the easiest process which can be done for marking the attendance, where the attendance is marked automatically. This process also helps to prevent the fake attendance. Face recognition and detection is generally based on line edge mapping to attain the identity of the student and also meets the wants of attendance in the universities and schools. The image of the student is to be captured and checked with the database simultaneously and marks the attendance of the particular student. The video gets recorded all the time and checks whether the student remains in class for the entire period.The attendance marking system with the help of technology is very essential for both the teachers and students.
Keywords: Attendance System, Face Recognition, Haursdroff  Distance, Line Edge Mapping.
Scope of the Article: Artificial Intelligent Methods, Models, Techniques.