Brian Dipert

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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Vision Processing Opportunities in Virtual Reality

VR (virtual reality) systems are beginning to incorporate practical computer vision techniques, dramatically improving the user experience as well as reducing system cost. This article provides an overview of embedded vision opportunities in virtual reality systems, such as environmental mapping, gesture interface, and eye tracking, along with implementation details. It also introduces an industry alliance

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Vision Processing Opportunities in Drones

UAVs (unmanned aerial vehicles), commonly known as drones, are a rapidly growing market and increasingly leverage embedded vision technology for digital video stabilization, autonomous navigation, and terrain analysis, among other functions. This article reviews drone market sizes and trends, and then discusses embedded vision technology applications in drones, such as image quality optimization, autonomous navigation,

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ceva

CEVA and AdasWorks to Demonstrate Free Space Detection for Autonomous Driving at AutoSens Conference 2016

Companies collaborate to develop low-power Advanced Driver Assistance System solution running on CEVA-XM4 intelligent vision DSP. MOUNTAIN VIEW, Calif ., -September 15, 2016 – CEVA, Inc. (NASDAQ: CEVA), the leading licensor of signal processing IP for smarter, connected devices, and AdasWorks, an innovative startup developing Drive 2.0, an integrated artificial intelligence-based full stack software suite

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The Future of Smartphone Photography: Dual Cameras Meet Machine Learning

This blog post was originally published at CEVA's website. It is reprinted here with the permission of CEVA. Immediately following the announcement of the iPhone 7 Plus, Apple’s first dual camera phone, commentators (like this post from Wired and this post from EETimes) declared that dual cameras are the new norm for smartphone photography. That’s

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CEVA Demonstration of Real-Time Deep Learning-based Object Recognition

Marc Evans, from the Customer Solutions Group at CEVA, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Evans demonstrates the AlexNet open source network running on CEVA's XM4 vision processor. The network includes 24 layers and is trained using the Caffe deep learning framework. The demo

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New NVIDIA Pascal GPUs Accelerate Deep Learning Inference

Tesla P4, P40 Accelerators Deliver 45x Faster AI; TensorRT and DeepStream Software Boost AI for Video Inferencing Monday, September 12, 2016 — GTC China — NVIDIA today unveiled the latest additions to its Pascal™ architecture-based deep learning platform, with new NVIDIA® Tesla® P4 and P40 GPU accelerators and new software that deliver massive leaps in

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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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