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Yury Gorbachev, Principal Engineer and the Lead Architect for the Computer Vision SDK at Intel, presents the “Enabling Cross-platform Deep Learning Applications with the Intel CV SDK” tutorial at the May 2018 Embedded Vision Summit.

Intel offers a wide array of processors for computer vision and deep learning at the edge, including CPUs, GPUs, VPUs and FPGAs, that allow customers to select the best platform for their specific use cases. Creating cross-platform computer vision and deep learning applications with a high degree of portability is a challenging and resource-intensive task. Intel’s edge computer vision/deep learning software ecosystem, based on the Computer Vision SDK (CV SDK), provides application designers with all of the necessary tools and components to create portable and high-performance edge computer vision/deep learning applications. This session shows examples of how the CV SDK reduces computer vision/deep learning software development time, helps to achieve cross-platform application portability, and enables a high degree of code reuse across different types of edge deployments.

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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