Fog Computing Based Intelligent Security Surveillance Using PTZ Controller Camera

In the present scenario surveillance systems are the most important factors in daily life owing to increasing demand of security and safety. It produces huge amount of data while operating 24/7 in public places including enterprises and educational institutions. These massive amounts of data can deluge the overall storage systems and other analytical applications. Hence the data need to be processed and may be stored to give a glimpse of some “interesting” incidents that is in execution in some particular location during a specified time frame. Cloud computing provides such infrastructure to handle these data by providing storing and processing elements. But in real time situation the overall latency and delay due to transmitting data in a cloud datacenter and revert back to end user's application devices are undesirable. Related to aforementioned scenario, a fog based intelligent surveillance system, that enables low latency and faster data processing by localization of data, is presented. Using ifogsim simulator, different scenarios have been created, computed and compared with the deployment of only cloud datacenter. Results depict that fog based system has lower energy consumption and higher processing rate compared to cloud.