Intel Demonstration of Deep Learning-based, GPU-Accelerated Object Recognition

Jingyi Jin, software architect in the Visual and Parallel Computing Group at Intel, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Jin demonstrates Intel Graphics being used as an accelerator to support real-time object recognition on low-end devices like consumer laptops and tablets. Intel Graphics is […]

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Movidius Demonstration of Its Machine Intelligence Technology

Jack Dashwood, Marketing Communications Director at Movidius, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Dashwood demonstrates the Fathom neural compute framework, running an image classifier in an ultra-low power embedded environment (under 1W), and enabling a whole new class of miniature robot overlords to be

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Intel Demonstration of Power-Efficient Neural Networks for Machine Learning Acceleration

Bill Jenkins, Senior Product Specialist for High Level Design Tools at Intel's Programmable Solutions Group (formerly Altera), demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Jenkins demonstrates how Altera FPGAs can be used to build power-efficient neural networks to accelerate machine learning. The demo shows convolutional

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Analog Devices Demonstration of the BLIP (Blackfin Low-power Imaging Platform)

Vidushi Kshatri, Strategic Marketing at Analog Devices, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Kshatri demonstrates an Embedded Vision Sensing technology platform from Analog Devices called BLIP (the Blackfin Low-power Imaging Platform). BLIP is a low cost, low power embedded computer vision platform targeting a

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BDTI Demonstration of Processor-Optimized Dense Optical Flow

Jeremy Giddings, Director of Business Development at BDTI, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. In this video, Giddings demonstrates dense optical flow, a highly accurate means to detect and track motion, on a low-cost embedded processor, the Renesas RGZ, a dual ARM core chip. In

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NXP Semiconductors Demonstration of the S32V Automotive Vision Processor

Ali Ors, Senior R&D Manager for ADAS at NXP Semiconductors' Automotive division, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Ors presents the capabilities of the NXP S32V Automotive Vision Processor, demonstrating the optical flow feature tracker with algorithms running on the APEX image processors inside

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BDTI Demonstration of a Neural Network for Object Recognition

Jeremy Giddings, Director of Business Development at BDTI, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Giddings demonstrates a neural network for object recognition. The demo showcases BDTI's ability to quickly implement an open source neural network, Darknet, on a GPU using YOLO, a system for

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AdasWorks Demonstration of Pixel-level Detection of Humans

László Kishonti, CEO and founder of AdasWorks, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Kishonti demonstrates how, with a single camera fronting the onlookers of the Summit, AdasWorks’ artificial intelligence-based software can detect humans in real time on a pixel level. He points out that

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Intel Accelerates Autonomous Driving Vision at IDF Investor Day

A BMW i3 is on display as part of Intel’s Investors Day events at the 2016 Intel Developer Forum in San Francisco on Thursday, Aug. 18, 2016. (Credit: Intel Corporation) Today, at the 2016 Intel Developer Conference, senior Intel executives mapped out the company’s autonomous driving vision. The session outlined the business opportunity, headlined Intel’s

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Universidad de Castilla-La Mancha Demonstration of the “Eyes of Things” Project

Noelia Vallez, "Chief Software Bug Finder" at the Universidad de Castilla-La Mancha, demonstrates the organization's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Vallez describes the objectives of the "Eyes of Things" project and shows one of the prototype boards. Her quiescent soon-to-be husband, "Chief Hardware Bug Finder" Jose

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