In this Intel on AI podcast episode: Today athletes are always looking for new ways to analyze and improve their performance through video analysis and sports enthusiasts love to experience sports in new and innovative ways, but 3D capture technology can be difficult to program and expensive to access. Paul Kruszewski, the CEO and Founder of wrnch AI, joins the Intel on AI podcast to talk about the markerless motion capture real-time 3D tracking that wrnch is enabling which is helping to democratize that motion capture technology. He discusses how the wrnch solution can enable any 2D camera to become a motion capture device by using a deep learning trained model that tracks 23 skeletal points to do real-time analysis on human movement. Dr. Paul highlights how this technology can be used not just for sports training and in-home exercise guidance, but can even span many healthcare and even autonomous driving applications. He expresses how wrnch heavily benefits from breadth of hardware options that Intel delivers and how utilizing the Intel OpenVINO toolkit has enabled wrnch solutions to be available to developers around the world to do real-time AI on Intel Architecture.

To learn more, visit:
wrnch.ai

Visit Intel AI Builders at:
builders.intel.com/ai

Tags: AI, artificial intelligence, deep learning, machine learning, natural language processing, OpenVINO, Paul Kruszewski, Real-Time Motion Capture, Supercomputing
 
Posted in: Artificial Intelligence, Audio Podcast, Intel, Intel on AI