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Intel Demonstration of Flexible Options to Speed Vision Workloads - A Heterogeneous Approach

Jeffrey McAllister, Technical Consulting Engineer at Intel, delivers a product demonstration at the May 2018 Embedded Vision Summit. Specifically, McAllister demonstrates how with Intel’s OpenVINO™ toolkit, (open visual inference and neural network optimization), you can boost workload performance with easy heterogeneous execution across multiple types of Intel® platforms (CPU, CPU with integrated graphics, FPGAs, and Movidius™ VPUs).

See how easy it is to add an Intel® Movidius Neural Compute Stick to your solution, while other functions can be moved to the CPU for optimal performance. Intel offers flexible combinations of performance, power, and cost efficiency to meet different vision solution needs. Developers and data scientists can download the development toolkit for free: