DefinePK

Abstract

Visual surveillance are used in surveillance sensitive application like as borders, stores ,banks, crowded public places, highways, etc... Smart surveillance, is the use a technologies of automatic analysis of video surveillance. Due to the technology of smart surveillance being a critical security infrastructures component, the architecture of smart system assumes a critical importance. Artificial Neural Networks (ANN) shown a promise in a wide areas of applications. Their intrinsic parallelism and massive makes ANN proper to solve difficult problems in computer vision application sand image analysis, chiefly when environments of non-stationary is occur. This research aim to design and implement surveillance system for building and government complex to detect most threads that may be exposed. In this research, a smart video surveillance system has been designed to detect and track moving object (such as human or cars) in real time, beside recognized human faces and recognized cars license plate. The systems consist of two main parts: Surveillance visual system and license plate recognition (LPR) system. The surveillance camera system are consist of multi cameras which have been connected to monitoring server that contains a program employee the ANN for smart detection of threat such as motion detection, face recognition etc. LPR system consist of fast camera connected to computer that include program to detect license plate of car that pass the gate of institute and detect if it authorized or unauthorized.