Smart Surveillance Using Computer Vision


Authors : PANTHANGI SAI LOHITH; GUNDOJI SHIVASA; LAGGONI VIGNAN GOUD; CH Lowkya; DR. SI Khan

Volume/Issue : Volume 6 - 2021, Issue 6 - June

Google Scholar : http://bitly.ws/9nMw

Scribd : https://bit.ly/3AkQpdy

Security and protection are the most important issues in modern times. This document reviews some of the latest developments in the field of computer vision and image processing to solve safety issues. It also describes the efforts of the development teams to incorporate some of these pioneering ideas into a consistent prototype system. Computer vision expands the paradigm of image processing, including the understanding of scene content, object tracking and classification. The development of computer vision technology often takes into account very specific applications, and the goal of a more complete understanding of computer vision systems still exists outside the existing technology, at least for now. In this paper we are mainly stressing on the features of smart surveillance which are monitoring feature, noise detection, face identification and visitors in room detection. This can be achieved by integrating camera with python computer vision algorithms.

Keywords : Computer Vision, Object Tracking, Computer Vision Algorithms, Face Identification

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