Video Analytics is defined as the capability of analyzing videos to detect, determine and relate temporal and spatial events. It is a great tool to generate Business/security Intelligence Information. By 2021 Video IP traffic is going to represent 82% from the global IP traffic. Therefore there is a significant need for Video Analytics platforms and applications.

Video processing is costly and can be very compute-intensive, often requiring hardware acceleration. It exhausts system memory and requires continuous management of video streams to realize a high-quality experience. In addition, video post-processing, using specialized graphics mechanisms, must be supported in order to create and view extracted and structured data. The art of converting unstructured data to structured, in a massively parallel, open architecture is at the heart of the AvidBeam video platform.