SDN-based Internet of Video Things Platform Enabling Real-Time Edge/Cloud Video Analytics

The trend of recent years is the continuous development of the Internet of Things (IoT). Among such things, a significant share is occupied by visual sensors and video cameras that generate large amounts of data. In turn, the need to attract significant storage resources, transmission throughput, and processing power is an inevitable solution for real-time video analytics. Thus, the combination of smart cameras with the computing paradigm of Cloud/Edge and IoT architectures form the next generation of video surveillance systems, called the “Internet of Video Things” (IoVT In this paper, a new IoVT platform is developed that, in addition to harmoniously combining Edge/Cloud computing, uses SDN to overcome challenges such as flexible management, control, and maintenance of IoVT devices. In particular, within the proposed IoVT platform, an algorithm for the dynamic selection of Edge or Cloud computing is implemented using an SDN controller to provide effective video analytics in real-time. This algorithm considers such parameters as the priority of computational tasks, the number of video streams, and the image quality with the ability to adapt to a specific application by software configuration of the IoVT platform. We also demonstrate the effectiveness of the proposed solutions on real equipment and discuss several promising areas of application of the developed platform.