International Journal of Electrical and Electronics Research ISSN 2348-6988 (online) Vol. 3, Issue 1, pp: (237-241), Month: January - March 2015, Available at: www.researchpublish.com Page | 237 Research Publish Journals Real-Time Security Application to Identify the Distance and Size of an Object with CCD Camera Hasan Riza OZCALIK 1 , Saban YILMAZ 2 , Emre ERKAN 3 , Erdal KILIÇ 4 1 Department of Electric-Electronic Engineering, Faculty of Engineering, Kahramanmaras Sutcu Imam University, Kahramanmaras, Turkey 2 Kahramanmaras Vocational School of Higher Education, Kahramanmaras Sutcu Imam University, Kahramanmaras, Turkey 3 Batman Vocational School of Higher Education, Batman University, Batman, Turkey 4 Afsin Vocational School of Higher Education, Kahramanmaras Sutcu Imam University, Kahramanmaras, Turkey Abstract: Security cameras become more widespread each day. These are monitored via image processing techniques. Image processing techniques yield better results if the distance of an object is known. This study develops an algorithm to identify the distance and size of an object and, in this respect, empirical studies were conducted. Images obtained from two security cameras were processed and the distance and size of the object was measured. Keywords: Image Processing, Alarm systems, Security. I. INTRODUCTION Image processing is usually used to identify and analyse an object in security applications. Real-time images are examined and evaluated instantly. Security systems increase an individual's and the society's ability and capacity to protect themselves against threats. Thanks to the developments in technology, human-based security systems are replaced by technological security systems [1]. Security systems comprise a number of interacting elements: sensors placed at different locations to be monitored, monitoring units where data from these sensors are collected and evaluated and warning elements controlled by monitoring units [2-3]. Although security cameras are commonly used today, a person which constantly monitors and evaluates them does not often exist. New systems are needed in order to process images in security cameras and take necessary precautions. It is quite important to process images obtained from observation cameras in border police stations, traffic cameras and those protecting individual spaces. A security camera which does not process images only records events. On the other hand, image processing enables to identify and prevent threats and suspicious events beforehand [4]. Various environmental factors such as low resolution, insufficient light and movements of the objects and variability of distance of an object, rain, fog and snow make image processing difficult [5]. Smart security cameras can automatically identify and analyse necessary information in recorded videos. Video monitoring applications are used in a wide spectrum. Smart security cameras are used in internal and external security, prevention of crimes in public and private areas, traffic control and prediction of accidents, tracking patients, monitoring the old and children, airports, train stations, roads, parking areas, stores, shopping malls and offices [6]. These systems attract more and more attention each day. A single camera may identify distance and image processing in a very limited way. However, smart security systems with multiple cameras are much more successful [7-9]. Security is a global question of social stability and economic development. Therefore, studies on the solutions to security problems are related to the whole humanity. These problems sometimes cause massive economic losses and endanger human life and national security [10]. Computer image applications have become more rapid in recent years. Smart monitoring systems, security, machinery view, robot- and automated-guided vehicle are even used in entertainment and