Sophisticated computer vision and deep learning algorithms impacting Video Analytics

It is increasingly interesting to observe that, Video analytics systems, which extract actionable information from video content are gaining greater traction in a diverse set of application markets including retail, transportation, consumer, cities, critical infrastructure, and enterprise, among others. 

In effect, these systems may use intelligent cameras with onboard vision processing or specialized server-based software platforms, which are increasingly being aided by sophisticated computer vision and deep learning algorithms to help organizations interpret and analyze meaning within an ever-growing flood of video content. 

According Tractica, video Analytics Hardware, Software, and Services Revenue can reach $3 Billion by 2022.