Videos

Imagination Technologies Demonstration of Variable-precision Neural Network Hardware

Francisco Socal, Technology Marketing Manager at Imagination Technologies, demonstrates the company's latest embedded vision technologies and products at the January 2018 Consumer Electronics Show. Specifically, Socal demonstrates the variable-precision capabilities of the company's PowerVR 2NX NNA (neural network accelerator) and associated toolset. The PowerVR 2NX, here shown implemented in a FPGA, runs the GoogLeNet Inception […]

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“Using Computer Vision and Machine Learning to Understand Pet Behavior,” a Presentation from PetCube

Alex Neskin, founder and CTO of PetCube, delivers the presentation "Using Computer Vision and Machine Learning to Understand Pet Behavior" at the Embedded Vision Alliance's December 2017 Vision Industry and Technology Forum. Neskin explains how his start-up is using vision and AI to improve the lives of pets and their owners.

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“Update on Khronos Standards for Vision and Machine Learning,” a Presentation from the Khronos Group

Neil Trevett, President of the Khronos Group, delivers the presentation "Update on Khronos Standards for Vision and Machine Learning" at the Embedded Vision Alliance's December 2017 Vision Industry and Technology Forum. Trevett shares updates on recent, current and planned Khronos standardization activities aimed at streamlining the deployment of embedded vision and AI.

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“The Path from ADAS to Autonomy,” a Presentation from Strategy Analytics

Roger Lanctot, Director of Automotive Connected Mobility at Strategy Analytics, delivers the presentation "The Path from ADAS to Autonomy" at the Embedded Vision Alliance's December 2017 Vision Industry and Technology Forum. Lanctot shares his unique perspective on what the industry can realistically expect to achieve with ADAS and autonomous vehicles, using computer vision and other

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VeriSilicon Demonstration of Its Cutting-edge Vision IP with Neural Network Capabilities

Halim Theny, Director of Application Enginneering at VeriSilicon, demonstrates the company’s latest embedded vision technologies and products at the December 2017 Embedded Vision Alliance Vision Industry and Technology Forum. Specifically, Theny demonstrates VeriSilicon’s latest vision processor IP with neural network capabilities. This demo features three neural networks simultaneously running on a FPGA, individually performing image

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Lattice Semiconductor Demonstration of Its Low-power Embedded Vision Solutions for the Edge

Deepak Boppana, Senior Director of Product and Segment Marketing at Lattice Semiconductor, demonstrates the company's latest embedded vision technologies and products at the December 2017 Embedded Vision Alliance Vision Industry and Technology Forum. Specifically, Boppana provides an overview of how Lattice’s FPGAs enable low-power implementations of embedded vision applications, including 3D depth mapping for obstacle

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Achronix Semiconductor Demonstration of Speedcore eFPGA Capabilities on a 16 nm Validation Chip

Robert Fulton, Senior Staff Applications Engineer at Achronix Semiconductor, demonstrates the company's latest embedded vision technologies and products at the December 2017 Embedded Vision Alliance Vision Industry and Technology Forum. Specifically, Fulton demonstrates Speedcore™ eFPGA capabilities on the company's 16 nm (16FF+) validation chip. The Achronix AC16tTC01AC01A is a 16-nm validation device that contains a

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Codeplay Demonstration of ADAS Application Development on Renesas’ R-Car Products

Charles Macfarlane, VP of Marketing for Codeplay Software Ltd, demonstrates the company's latest embedded vision technologies and products at the December 2017 Embedded Vision Alliance Vision Industry and Technology Forum. Specifically, Macfarlane demonstrates how his company enables ADAS application development on Renesas’ R-Car products. Codeplay's OpenCL and SYCL open standards-based development solutions for high-performance systems

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Basler’s Thies Möller Explains the Interface Options for Embedded Vision

What interface is suitable for your embedded vision application? In Basler's latest Vision Campus video, an autonomous-driving lawnmower handles the garden chores. The mower is an example of a lean, affordable embedded vision system comprised of a camera module and a processing board. Yet which interface is best suited to let the two components exchange

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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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