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An Implementation of Resourceful Smart Application with Geo Location

Journal: International Journal of Science and Research (IJSR) (Vol.8, No. 2)

Publication Date:

Authors : ; ; ;

Page : 1147-1150

Keywords : face identification; face recognition; eigenfaces; fisherfaces; attendance management system; mobile application;

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The objective of the work is to propose a resourceful smart application system with secure environment for college students with various features of location& face identification based attendance, SOS alert particularly for women's and attendance tracking. Mobile applications are popularly used due to its free of cost and ease use. It is to enhance the location& face Identification based Attendance for all students when they reaches inside the college. The most important feature is SOS Alert for emergency purpose particularly for women's who facing unexpected and unusual student access (like senior ragging, health problems etc. ,). The system also focusing on tracking feature, if the student didn't attend the college, even though inside of the college. As an alternative, RFID, wireless, fingerprint, and iris and face recognition-based methods have been tested and developed for this purpose. Although these methods have some pros, high system installation costs are the main disadvantage. The present paper aims to propose a face recognition-based mobile automatic classroom attendance management system needing no extra equipment. To this end, a filtering system based on Euclidean distances calculated by three face recognition techniques, namely Eigenfaces, Fisherfaces and Local Binary Pattern, has been developed for face recognition. This work illustrates the overall planning of smart application for resource use of student access.

Last modified: 2021-06-28 17:24:41