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Making computer vision a mobile reality

Original Air Date: Jun 27, 2012 | Duration: 60 minutes Webinar
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Overview:
The trend of using computer vision techniques for innovative embedded applications is a widespread reality. Initially used in industrial and security applications, it is now widely used in automotive applications (mostly for car safety systems), smartphones and tablets (for unique real-time applications and gaming), as well as to Smart TVs (for gesture recognition and other natural UI). Moreover, some of the cutting-edge imaging applications, such as super resolution, advanced super scaling and HDR are using techniques from the computer vision space. The main challenge for SoC and application developers is providing powerful computer vision capabilities combined with SW flexibility, while meeting the stringent power constraints of embedded applications. Using a vector processor such as the CEVA-MM3101, with an instruction set specifically tuned for embedded vision, makes computer vision a reality.



Who should attend:

  • AP vendors for mobile devices
  • OEMs for mobile devices and smart TVs
  • SOC s vendors for smart TVs
  • SOCs vendors for Automotive (car safety) and security equipment
  • SW application vendors for computer vision—mobile devices, smart TVs, automotive (Car Safety) and security
Registrants will learn:
  • New markets for computer vision—Mobile devices, Smart TVs
  • Computer vision computational requirements
  • OpenVL—new API for embedded computer vision by Khronos
  • CEVA-MM3101—a fully programmable platform designed for embedded computer vision
  • Gesture Recognition & virtual mouse for embedded systems based on eyeSight's technology


Presenters:

Ron Shalom, Marketing Manager Multimedia applications, CEVA


Moshe Shahar, Director of System Architecture, CEVA


Amnon Shenfeld, VP R&D, eyeSight



Jeff Bier, founder, Embedded Vision Alliance

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