Videos

“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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Luxoft Demonstration of OpenCL-Optimized, VP9 Codec-based Video Playback

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 OpenCL-optimized decode and playback of 4K-resolution 60 fps VP9 codec-based video, versus the CPU-based reference VP9 alternative. The company also can do optimizations based on CUDA (NVIDIA) and HLSL (Microsoft's

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Qualcomm Demonstrations of Dense Optical Flow and Drones

Maged Zaki, Director of Technical Marketing at Qualcomm, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Zaki demonstrates dense optical flow, a highly accurate means to detect and track motion. The demo, developed by Qualcomm partner (and fellow Embedded Vision Alliance member) BDTI, enables the operation

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HSA Foundation Demonstration of OpenVX-based Harris Corner Detection and Optical Flow

Ashish Farmer, Software Engineer at AMD (representing the HSA Foundation), demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Farmer demonstrates Harris Corner Detection and Optical Flow, implemented using OpenVX.

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