Desktop Application for Automated Surveillance System using Clustering Technology

Abstract

Over the past years, the threat of all kinds of theft has increased be it at any time of the day. During the day time or when the workplaces are filled with workers and employees it becomes difficult to identify who the thief is, which is why an automated system that automatically identifies the action based on modern motion detection technology using cameras and also identifies and highlights the missing object thereby notifying the administrator. System is used to keep a watch for any suspicious activity especially after closing hours when it becomes difficult to manage the entire area physically. The new technology employs computer vision to automate the process of watching and detecting movement through the web cam, effectively making web camera a tool for defense/security.