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What Role Does Color Play in Image Processing?

This article was originally published at Basler's website. It is reprinted here with the permission of Basler. Almost everyone associates the concept of color with very personal experiences. The fact that our eyes can distinguish millions of color shades has brought us many advantages in the course of evolution – after all, thanks to our […]

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“The Caffe2 Framework for Mobile and Embedded Deep Learning,” a Presentation from Facebook

Fei Sun, software engineer at Facebook, delivers the presentation "The Caffe2 Framework for Mobile and Embedded Deep Learning" at the Embedded Vision Alliance's March 2018 Vision Industry and Technology Forum. Sun introduces Caffe2, a new open-source machine learning framework, and explains how Facebook is using it to enable computer vision in mobile and embedded devices.

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Embedded Vision Insights: March 27, 2018 Edition

LETTER FROM THE EDITOR Dear Colleague, Keeping up with the rapid pace of vision technology advances can be overwhelming. Accelerate your learning curve and uncover practical techniques in computer vision by attending some of our 80+ "how-to" sessions at the 2018 Embedded Vision Summit, taking place May 21-24 in Santa Clara, California. You'll learn about

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TI Vision SDK, Optimized Vision Libraries for ADAS Systems

This article was originally published at Texas Instruments’ website (PDF). It is reprinted here with the permission of Texas Instruments. Introduction There were 1.2 million global traffic deaths in 20101. 93 percent of traffic accidents in the US are due to human error, typically due to inattention2. ADAS (Advanced Driver Assistance Systems) applications such as

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Leveraging the Power of VDMA Engines for Computer Vision Apps with TySOM

This article was originally published as a two-part blog series at Aldec's website. It is reprinted here with the permission of Aldec. It's pretty hard to overestimate the role of heterogeneous embedded systems based on Xilinx® Zynq®-7000 All-Programmable devices in tasks like computer vision. Many consumer electronics and specialized devices are emerging to facilitate and

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Embedded Low-power Deep Learning with TIDL

This article was originally published at Texas Instruments’ website (PDF). It is reprinted here with the permission of Texas Instruments. Introduction Computer-vision algorithms used to be quite different from one another. For example, one algorithm would use Hough transforms to detect lines and circles, whereas detecting objects of interest in images would require another technique

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Embedded Vision Insights: March 13, 2018 Edition

LETTER FROM THE EDITOR Dear Colleague, We’ve got a lot of exciting things lined up for the 2018 Embedded Vision Summit, newly expanded to a four-day event taking place May 21-24 in Santa Clara, California. From 80+ technical sessions, to 100+ technology demos, to keynote presentations from industry luminaries Dean Kamen and Dr. Takeo Kanade—if

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Visual Processors and CNN – ST Micro and Videantis Enter the Market

March 1, 2018 – Jon Peddie Research (JPR), the industry's research and consulting firm for graphics and multimedia, today released its latest quarterly report on the Visual Processing Unit (VPU) market. The major interest and activity in the market for Vision Processing Units (VPUs) continues to center on neural networks, both in terms of advances in

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Data Sets for Machine Learning Model Training

Deep learning and other machine learning techniques have rapidly become a transformative force in computer vision. Compared to conventional computer vision techniques, machine learning algorithms deliver superior results on functions such as recognizing objects, localizing objects within a frame, and determining which pixels belong to which object. Even problems like optical flow and stereo correspondence,

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Embedded Vision Insights: February 27, 2018 Edition

LETTER FROM THE EDITOR Dear Colleague, The Embedded Vision Summit is the preeminent conference on practical computer vision, covering applications at the edge and in the cloud. It attracts a global audience of over one thousand product creators, entrepreneurs and business decision-makers who are creating and using computer vision technology. The Embedded Vision Summit has

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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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