606 Leveraging Computer Vision for Superior Performance Support Solutions

1:00 PM - 2:00 PM Wednesday, June 27

Garden

A key technology component of augmented reality that enables devices to “see” and make sense of the world around them is computer vision (CV). CV by itself is a powerful tool for creating useful performance support solutions for your audience. Understanding the tech’s pitfalls and then designing scalable, easy-to-use tools for your organization isn’t something widely shared or discussed in the learning industry at this point.

Join Steve Richey, a mobile, augmented reality and computer vision expert from Float in a session focused on illustrating the value proposition of performance support that utilizes computer vision. Over the course of the session he will uncover issues that may arise during design and development, highlight testing, and quality assurance processes you should consider, and give you practical technical tips that your developers can implement immediately to unlock this amazing technology in your organization.

In this session, you will learn:

  • What computer vision is and why it is important
  • Key components needed for computer vision
  • Some example use cases where computer vision excels at delivering great performance support
  • Where issues may arise when you embark on a computer vision project
  • High-level design and development tips for implementing great CV-powered performance support
  • Understanding the value in eschewing training in favor of smart, powerful performance support

Audience:

Designers, developers, managers, and senior leaders (directors, VPs, CLOs, executives, etc.).

Technology discussed in this session:

Computer vision, text detection, optical character recognition, iOS, CoreVision, mobile design and development.

Steve Richey

Augmented Reality Developer

Float

Steve Richey is a software developer at Float focusing on mobile, augmented reality, and machine learning. He was the lead developer on Cydalion, an application that uses the Tango sensors on select Android devices to provide navigational assistance to people who are blind or visually impaired. Steve has also done AR research for the US Department of Defense, crafting a holistic solution for challenges faced by users in operational environments for the Combating Terrorism Technical Support Office (CTTSO). Before joining Float, Steve was a nuclear electrician in the US Navy and earned his MBA at Illinois State University.

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