Smart Surveillance System using Deep Learning
Dayana R1, Suganya M2, Balaji P3, Mohamed Thahir A4, Arunkumar P5
1Mrs. R Dayana*, Assistant Professor, Department of Computer Science and Engineering, Jeppiaar Institute of Technology, Chennai, India.
2Mrs. M Suganya, Assistant Professor, Department of Computer Science and Engineering, Jeppiaar Institute of Technology, Chennai, India.
3Balaji P, Department of Computer Science and Engineering, Jeppiaar Institute of Technology, Chennai, India.
4Mohamed Thahir A, Department of Computer Science and Engineering Jeppiaar Institute of Technology, Kanchipuram, Tamil Nadu, India.
5Arunkumar P, Department of Computer Science and Engineering Jeppiaar Institute of Technology, Kanchipuram, Tamil Nadu, India.
Manuscript received on April 02, 2020. | Revised Manuscript received on April 21, 2020. | Manuscript published on May 30, 2020. | PP: 1151-1155 | Volume-9 Issue-1, May 2020. | Retrieval Number: A1464059120/2020©BEIESP | DOI: 10.35940/ijrte.A1464.059120
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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: In industry and research area big data applications are consuming most of the spaces. Among some examples of big data, the video streams from CCTV cameras as equal importance with other sources like medical data, social media data. Based on the security purpose CCTV cameras are implemented in all places where security having much importance. Security can be defined in different ways like theft identification, violence detection etc. In most of the highly secured areas security plays a major role in a real time environment. This paper discusses the detecting and recognising the facial features of the persons using deep learning concepts. This paper includes deep learning concepts starts from object detection, action detection and identification. The issues recognized in existing methods are identified and summarized.
Keywords: Surveillance, Security, Real time, Deep Learning, Face Detection, Face Recognition.
Scope of the Article: Deep Learning