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March 22 - Day FIVE: Developing Low-Cost, Low-Power, Small Vision Systems

We'll present a detailed case study of the development of a smart, automotive, rear-view camera system incorporating vision-based object detection and distance estimation. We'll discuss the challenges associated with creating an embedded vision system that meets very demanding cost, size, power, and performance requirements. We'll present the lessons learned during algorithm, software, and system development, and how those lessons apply to other embedded vision applications.
Webinar Information
Start Date: Mar 22, 2013 - 06:00 PM UTC

We’ll present a detailed case study of the development of a smart, automotive, rear-view camera system incorporating vision-based object detection and distance estimation. We’ll discuss the challenges associated with creating an embedded vision system that meets very demanding cost, size, power, and performance requirements. We’ll present the lessons learned during algorithm, software, and system development, and how those lessons apply to other embedded vision applications.