Attendance System using Facial Recognition and Geolocation
Anuj Pant1, Prakhar Saxena2, R. Subash3
1Anuj Pant, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
2Prakhar Saxena, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
3R. Subash, Assistant Professor (O.G), Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
Manuscript received on 18 June 2019 | Revised Manuscript received on 11 July 2019 | Manuscript Published on 17 July 2019 | PP: 965-967 | Volume-8 Issue-1C2 May 2019 | Retrieval Number: A11670581C219/2019©BEIESP
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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: Face recognition is considered as a popular application of image processing. This system is a controversial subject right now as this can recognize and track criminals in a crowd, but some take it as an extreme invasion of privacy. Location Based Service (LBS) is an integrated system that provides real time data for the given object or person. The spatial patterns that these systems provide is one of the most useful aspects where in the location is a determining factor when trying to understand the activities and can thus be used to better understand patterns and relationships between the same. The prototype is used to mobilize as well as increase the authenticity of the existing attendance system by bringing the service directly to application environment. We provide a deep analysis of the problem, draw conclusions and propose an efficient executable solution to tackle these problems.
Keywords: Facial Recognition, Location Based Services, Geolocation, Database Management System, Application, Application Programming Interface.
Scope of the Article: Pattern Recognition