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Videos

MathWorks Demonstration of Its IP Core Generation Workflow

Steve Kuznicki, Pilot Engineer at MathWorks, demonstrates the company's latest embedded vision technologies and products at the September 2016 Embedded Vision Alliance Member Meeting. Specifically, Kuznicki demonstrates the company's IP core generation workflow, which takes advantage of the HDL Coder automatic code generation support in MATLAB and Simulink, and targets a Xilinx evaluation board.

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Luxoft Demonstration of Android- and OpenCL-based, GPU-accelerated Caffe

Sergey Federov, Program Manager at Luxoft, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Federov demonstrates a version of the Caffe convolutional neural network framework for deep learning that the company has ported to Android. Object recognition is greatly accelerated by the GPU via OpenCL.

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Luxoft Demonstration of OpenCL-based, GPU-accelerated Pixerra Video Processing

Sergey Federov, Program Manager at Luxoft, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Federov demonstrates the company's Pixerra OpenCL-based, GPU-accelerated real-time video processing library, particularly showcasing HDR and video stabilization functions.

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Luxoft Demonstration of OpenCV Optimization for Histogram Calculation

Sergey Federov, Program Manager at Luxoft, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Federov demonstrates a platform-optimized version of the OpenCV library histogram calculation function, which runs approximately 4x faster than the non-optimized function version.

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“Using Vision to Enable Autonomous Land, Sea and Air Vehicles,” a Keynote Presentation from NASA JPL

Larry Matthies, senior research scientist at the NASA Jet Propulsion Laboratory, presents the "Using Vision to Enable Autonomous Land, Sea and Air Vehicles" keynote at the May 2016 Embedded Vision Summit. Say you’re an autonomous rover and you’ve just landed on Mars. Vexing questions now confront you: “Where am I and how am I moving?”

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Luxoft Demonstration of Its OpenCL-based Multi Neural Network System

Sergey Federov, Program Manager at Luxoft, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Federov demonstrates the company's OpenCL-based Multi Neural Network System, in this particular case used in an offline fashion for object recognition (via R-CNN) and tagging purposes.

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