Building AI Cameras with Intel Movidius VPUs


Where: Exhibit Hall ET 1

Start Time: 1:00 pm

End Time: 1:30 pm

The availability of silicon platforms today with sufficient performance and compute efficiency to run AI inference algorithms has given rise to many interesting edge products: from smart home security cameras to personal assistants to cameras for industrial automation and visual retail cameras for cashier-less stores. At Intel we support a vibrant ecosystem of device makers, ODMs, integrators and end users. We are ushering in a new era of AI cameras to truly assist people in what we do at home and at work every day. In this presentation, I will showcase our Intel® Movidius™ VPU (Vision Processor Unit) and its capabilities. I will share details of new ways to build AI cameras with VPUs, and provide an overview of the software development environment, including the Intel distribution of OpenVINO™ toolkit that enables AI application deployment. With the OpenVINO™ toolkit, users can prototype and deploy their own deep neural network algorithms using the Movidius VPU.

Track

Session Speakers

  • Gary Brown is director of AI marketing at Intel’s IoT Group, and has most recently overseen the product launches of edge AI products such as Intel Movidius VPUs (Vision Processor Units) and other IoT Vision products that include AI technologies. Gary has over 25 years of experience leading applications engineering and technical marketing teams in vision, imaging and audio. Prior to Intel, he was VP of Marketing at Movidius, and he led product marketing for imaging/video products at Tensilica and Cadence. Early in his career, Gary enjoyed leading functional verification for an HD Video processor at Panasonic Semiconductor in Osaka, Japan. Gary holds a Masters in EE from Stanford and a Bachelors in Engineering from UC Berkeley.


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Building AI Cameras with Intel Movidius VPUs