With the growth, variety, and criticality of video – the ways in which we capture, process, and distribute video streams are changing. Today, video producers and consumers want more control over the process. This includes technical aspects such as resolutions, latency, workflows, and a myriad of other factors. However, just as important are the ways video is distributed. The rise of platforms such as YouTube, Twitch, and TikTok have been staggering. Yet public sites such as these and others are entirely unsuitable for a manufacturing plant monitoring solution, public safety, and security applications or even for fully controlled, subscription-based entertainment or educational services.
The goal for many is to gain more freedom around how to control the entire video process from camera to screen or even from machine to machine for use cases where video is just a means of delivering an analytical insight. This overview is the starting point to discuss how the power of edge computing at the video source is set to revolutionize how video is handled.