Security Surveillance and Alert System (SSAS)

Abstract

Object detection is an important element in a video surveillance system, used to identify objects of interest and to generate data for tracking and analysis surveillance system. A video surveillance system is proposed here which will be able to detect those objects. As compared with traditional face detection approaches, databases are used for the comparison of objects. We have created a system in which the object will be identified on the basis of algorithms. This will make our system fast as compared to the traditional face detection algorithm. The project involves real-time surveillance system. The system done the surveillance of the area through cameras and will work automatically on the basis of algorithm that we will design. It will not require any operator to watch the live video stream for 24 hours a day. The system will work and respond without the help of an operator. The aim of the project is to make a safe environment, free of theft and robberies.