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Deep Learning for Object Recognition: DSP and Specialized Processor Optimizations

Neural networks enable the identification of objects in still and video images with impressive speed and accuracy after an initial training phase. This so-called "deep learning" has been enabled by the combination of the evolution of traditional neural network techniques, with one latest-incarnation example known as a CNN (convolutional neural network), by the steadily increasing […]

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Optimizing Computer Vision Applications Using OpenCL and GPUs

The substantial parallel processing resources available in modern graphics processors makes them a natural choice for implementing vision-processing functions. The rapidly maturing OpenCL framework enables the rapid and efficient development of programs that execute across GPUs and other heterogeneous processing elements within a system. In this article, we briefly review parallelism in computer vision applications,

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VisionSystemsDesign

Industry Standards Simplify Computer Vision Software Development

This blog post was originally published at Vision Systems Design's website. It is reprinted here with the permission of PennWell. When developing computer vision software, de facto standards such as the OpenCV open source computer vision library (which I mentioned in a recent column) are extremely valuable in helping you get your development done quickly

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VisionSystemsDesign

Computer Vision for Driver Assistance: More Industry Perspectives

This blog post was originally published at Vision Systems Design's website. It is reprinted here with the permission of PennWell. Back in March, I wrote about ADAS (advanced driver assistance systems), which I noted was "quietly but quite rapidly becoming a huge technology success story." This week, I'm revisiting the topic, along with the related

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“The Vision API Maze: Options and Trade-offs,” a Presentation from the Khronos Group

Neil Trevett, President of the Khronos Group, presents the "Vision API Maze: Options and Trade-offs" tutorial at the May 2016 Embedded Vision Summit. It’s been a busy year in the world of hardware acceleration APIs. Many industry-standard APIs, such as OpenCL and OpenVX, have been upgraded, and the industry has begun to adopt the new

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BDTI Evaluates NVIDIA Jetson TX1 Developer Kit for Deep Learning and Computer Vision Applications

The Jetson TX1 module is NVIDIA’s latest processor system-on-module for embedded applications, based on the Tegra X1 chip. The Jetson TX1 Developer Kit is a low-cost, feature-rich development kit based on the Jetson TX1 module. BDTI, a technology analysis firm (BDTI and NVIDIA are both members of the Embedded Vision Alliance), used the Jetson TX1

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VisionSystemsDesign

Computer Vision Software Development: Current Status and Future Trends

This blog post was originally published at Vision Systems Design's website. It is reprinted here with the permission of PennWell. Despite improved tools, libraries and APIs, computer vision software development remains challenging. Several presentations at the recent Embedded Vision Summit addressed various aspects of the computer vision software development process, both as it currently exists

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May 2016 Embedded Vision Summit Replay

Conference Presentation Slides 2016 Embedded Vision Summit Slides (81 MB—click to download.) Conference Overview Presentations Welcome Remarks and Conference Overview (Day 1) Jeff Bier, Embedded Vision Alliance Welcome Remarks and Conference Overview (Day 2) Jeff Bier, Embedded Vision Alliance Keynote and Plenary Session Presentations "Large-Scale Deep Learning for Building Intelligent Computer Systems" Jeff Dean, Google

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Embedded Vision Insights: June 7, 2016 Edition

In this edition of Embedded Vision Insights: New Embedded Vision Summit Content Heterogeneous Processing for Computer Vision Efficient Neural Network Implementations Embedded Vision Community Conversations Embedded Vision in the News Upcoming Industry Events LETTER FROM THE EDITOR Dear Colleague, Several additional presentation videos from the Embedded Vision Summit are now available on the Alliance website.

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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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