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Gary Brown, Director of AI Marketing at Intel, presents the "Building AI Cameras with Intel Movidius VPUs" tutorial at the May 2019 Embedded Vision Summit.

Today, the availability of silicon platforms 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. Intel supports a vibrant ecosystem of device makers, ODMs, integrators and end users. The company is ushering in a new era of AI cameras to truly assist people in what they do at home and at work every day.

In this presentation, Brown showcases the Intel Movidius VPU (Vision Processor Unit) and its capabilities. He shares details of new ways to build AI cameras with VPUs, and provides 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.

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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