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Embedded Vision: an Introduction

Peter McLaughlin

Embedded Vision: an Introduction
Peter McLaughlin

Computer vision is being revolutionized by advances in artificial intelligence and edge hardware. By applying Deep Learning, computers can detect features in images more reliably and more effectively than the human eye. Integrating computer vision into embedded systems creates powerful new functionality, exciting new use-cases, and opportunities for entirely new products. Present-day capability and applications are merely scratching the surface of computer vision’s potential, which according to Forbes magazine is essential to the Forth Industrial Revolution. Deploying computer vision in embedded systems however presents considerable technical challenges, in particular requiring knowledge of camera optics and advanced image processing techniques. In this session, Peter McLaughlin will provide a broad introduction to computer vision in the embedded system space. Topics covered include computer vision technologies and their use-cases, camera types and data interfaces, optics, image processing and hardware requirements. Attendees will walk away armed with information to help them get started with embedded vision and apply it to their projects.   

Keywords

Computer vision, image processing, artificial intelligence.

Takeaway

Attendees will takeaway an understanding of:

  • The impact and potential of computer vision in the embedded system space
  • Embedded vision use-cases, hardware selection and image processing
  • What to contemplate when designing an embedded vision solution
  • How to get started with computer vision and apply it to an embedded systems project

Intended audience

This session targets embedded system developers and managers who are curious about applying computer vision to embedded systems.

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