A Smart Survillience System
B.W.Balkhande1, Deepak Dhadve2, Pranalee Shirsat3, Mayuri Waghmare4
1Prof. B. W. Balkhande, Asst. Professor, Bharati Vidyapeeth College of Engineering, Navi Mumbai, India.
2Deepak C. Dhadve, Student, Computer Science and Engineering, Bharati Vidyapeeth College of Engineering, Navi Mumbai, India.
3Pranalee P. Shirsat , Student, Computer Science and Engineering, Bharati Vidyapeeth College of Engineering, Navi Mumbai, India.
4Mayuri S. Waghmare , Student, Computer Science and Engineering, Bharati Vidyapeeth College of Engineering, Navi Mumbai, India.
Manuscript received on April 02, 2020. | Revised Manuscript received on April 21, 2020. | Manuscript published on May 30, 2020. | PP: 1135-1138 | Volume-9 Issue-1, May 2020. | Retrieval Number: F9922038620/2020©BEIESP | DOI: 10.35940/ijrte.F9922.059120
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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 smart surveillance system defines a approach to identify and recognize human faces from the surveillance videos. It is very tedious to find particular person within a video. This system gives a quick and efficient method to find the presence of a person within a surveillance video. The smart surveillance system uses various machine learning algorithms like Face Recognition and Face Detection to achieve the required results. This system can be used in many security systems to check the presence of a person in any video of the particular area.
Keywords: Face Detection, Face Recognition, Machine Learning, Security, Surveillance Systems, Surveillance Video.
Scope of the Article: Machine Learning