Face Detection and Recognition for use in Campus Surveillance
B. Kranthikiran1, Padmaja Pulicherla2
1Dr. B.Kranthikiran*, Associate Professor, Jntuhceh, Kukatpally, Hyderabad.
2Dr. Padmaja Pulicherla, Professor, Department of CSE, Teegala Krishna Reddy Engineering College, Hyderabad.
Manuscript received on December 17, 2019. | Revised Manuscript received on December 27, 2019. | Manuscript published on January 10, 2020. | PP: 2908-2913 | Volume-9 Issue-3, January 2020. | Retrieval Number: B7682129219/2020©BEIESP | DOI: 10.35940/ijitee.B7682.019320
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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 study of image processing in today’s world and the booming possibility of building a smart classroom and a smarter campus with the help of aided vigilance and surveillance is slowly moving from a thought that can be considered for the future to an actual real-world implementation. In modern day schools and university campuses there is an increasing demand for a real-time monitoring and quick responding database that tracks the student activities. This is not always required but serves as a one-click system that handles average information searches and returns the list of fast action options that are available in tracking the campus activities that come in the purview of its span. In a diverse educational campus comprising of several branches and streams that share a single campus, there is a possible chance of intrusion and unauthorized entry which may lead to undesirable and unnecessary loss of intellectual property and manipulation of identity. In a particular academic unit, there would be a surveillance system that monitors and tracks these activities and offers to its privileged users a response in real-time. It can also be used to track the attendance of students in an automated fashion which leads to a digitized and paperless approach. It can be said that this will be implemented in its entirety to a campus unit. Face identification is an essential step in face recognition, in which one of the typical of a class and authoritative application in visual sensor network. Visual perception is one of the physical measurements based on secured features. Face identification is a demanding assignment, because it has to scan and match against a library of known faces. E.g. lighting condition, different posture, various kind of body languages.
Keywords: Visual Recognition, Surveillance, Security, Image Processing and Biometric.
Scope of the Article: Image Processing and Pattern Recognition