An Adaptive Artificial Safety Network for Motion Detection using High Spatial Resolution Correlative Methods

Abstract

Image matching plays very important role in security networks .Now a day it is one of the reliable sources of information. There were many image processing techniques have been proposed according to need. With the fast computers and signal processors available in the 2000s, digital image processing has become the most common form of image processing, and is generally used because it is not only the most versatile method, but also the cheapest. Shape, color and texture are undoubtedly important visual features for image representation. Image matching is an important task. We proposed modified Image matching algorithm using the sparshtool, computer vision and mat lab. In this paper we used high resolution correlation methods for image matching. We also interfaced the UART,USB, SMTP ,memory device and a wireless camera .Using this we can detect the motion ,missing of objects and security in jewellery shops, showrooms, departmental stores, atms, bank lockers and also in home.