effective attendance marking using face recognition and automatic behavior monitoring system
mahalakshmi,harini,aparna
Published in International Journal of Advanced Research in Electrical and Electronics Engineering
ISSN: 2321-4775 Impact Factor:1.6 Volume:3 Issue:3 Year: 04 April,2017 Pages:123-129
Abstract
Automation has played a major role in the growth, advancement, and modernization of our daily work processes. The main purpose of this paper is to develop a safe and secure attendance marking using face recognition and behavior monitoring in examination. This project deals with the effective attendance marking using face recognition, behavior monitoring and performance analysis. In order to conduct TOEFL exams and monitoring the students is difficult task for management. At the same time our current examination system is pretty old and they cannot find any malpractice during examination. Our main aim of the project is to detect any malpractice is happening in the examination hall, face recognition based student verification system, automatic valuation system in the examination. Camera is initiated and face recognition is processed using MATLAB. Sensors are connected to the controller to watch malpractice. After verification, random set of questions are generated to the users, time limit for each questions is monitored. If any malpractice is found alarm will ON. Finally the result is displayed on the phone screen, and also sent to the mobile via SMS. If any student is present for the exam it is also intimated to parents through SMS. Data is stored in the cloud server
Kewords
face recognition, attendance marking, MATLAB, sensors
Reference
1. Visar Shehu, Agni Dika,“Using Real Time Computer Vision Algorithms in Automatic Attendance Management Systems” ITI 2010 32nd Int.Conf. on Information Technology Interfaces, June 21-24, 2010, Cavtat, Croatia. 2. PAN Xiang, “Research and Implementation of Access Control System based on RFID and FNNFace, 2012 International Conference on Intelligent Systems Design and Engineering Application 12 2012 2012.400 Recognition”,978-0-7695-4608-7/11 $26.00 © 2011 IEEE 3. Mr.Jitendra B. Jawale Ear Based Attendance Monitoring System Proceedings of ICETECT 2011, 978-1-4244-7926-9/11/$26.00 ©2011 IEEE 4. Lejla Abazi-Bexheti. Development of a Learning Content Management System. WSEAS Transactions on Information Science and Applications 5. M. A. Turk and A. P. Pentland,“Face Recognition Using Eigenfaces,” in Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 586–591. 1991. 6. A.J. Goldstein, L. D. Harmon, and A. B. Lesk, “Identification of Human Faces,” in Proc. IEEE Conference on Computer Vision and Pattern Recognition, vol. 59, pp 748– 760, May 1971
