Augmented reality is “new,” but it’s already stuck in a rut. Games and entertainment abound, simple marker-based AR experiences are getting attention, but where are the truly groundbreaking applications? Join this session to explore some of the more advanced things that are possible when you add computer vision and machine learning to AR in order to bridge performance and learning.

In this session, examples from outside the learning world that allow people to do fantastic things with advanced technologies like computer vision, machine learning, and associated next-gen systems will be brought forth and positioned as “what-if” scenarios. Hypothetical performance issues will be discussed with ideas on how to close those gaps with those technologies. You will be encouraged to share tough challenges, and the group will ideate together on how to solve some of those dicey problems collaboratively.

In this session, you will learn:

• How AR can be augmented with computer vision and machine learning
• Where AR, computer vision, and machine learning are being used outside the learning industry to great effect
• How to ideate solutions for closing performance gaps using computer vision and machine learning
• What key computer vision and machine learning tools are available

Audience:

Managers and senior leaders (directors, VP, CLO, executive, etc.).

Technology discussed in this session:

AR, ARCore, ARKit, CoreVision, computer vision, OCR, Core ML, TensorFlow, and machine learning.