A Proposed System for Security Surveillance to Detect Human Intrusion
Gaayan Verma1, Madhurima Hooda2, Saru Dhir3

1Mr. Gaayan Verma, B.Tech, Department of Information Technology, Amity School of Engineering & Technology, Amity University, Noida (Uttar Pradesh), India.

2Dr. Madhurima Hooda, Assistant Professor, Department of Information Technology, Amity School of Engineering and Technology, Amity University, Noida (Uttar Pradesh), India.

3Dr. Saru Dhir, M.Tech, CS and M.Sc., Ph.D, Department of CSE, Software Engineering, Agile Development, Software Testing, Cyber Crime.

Manuscript received on 22 November 2019 | Revised Manuscript received on 03 December 2019 | Manuscript Published on 14 December 2019 | PP: 86-89 | Volume-9 Issue-1S November 2019 | Retrieval Number: A10201191S19/2019©BEIESP | DOI: 10.35940/ijitee.A1020.1191S19

Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© 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: Nowadays, Security is one of the, if not the biggest priority in places such as public speaking venues, restricted areas and all important places of any country. Moreover, military conflicts & terrorism has increased recently. Monitoring these areas is substantial, but currently, monitoring is dependent upon technology and manpower. Since there is always the potential of having a human error that may be caused due to several reasons, to counter this issue, this research paper proposed an application to reduce human error. The primary feature of this application is a surveillance system that detects the face of a human, identifies the personality and display their information to possibly prevent human intrusion.

Keywords: Human Intrusion, Surveillance System, Security Surveillance and Real Time Security Surveillance, Face Detection, Machine Learning.
Scope of the Article: Security, Privacy and Trust in IoT & IoE