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Building Mobile Apps with TensorFlow: An Interview with Google’s Pete Warden

Articles, Edge AI and Vision Alliance, Technical Articles /

Pete Warden, Google Research Engineer and technical lead on the company's mobile/embedded TensorFlow team, is a long-time advocate of the Embedded Vision Alliance. Warden has delivered presentations at both the 2016 ("TensorFlow: Enabling Mobile and Embedded Machine Intelligence") and 2017 ("Implementing the TensorFlow Deep Learning Framework on Qualcomm’s Low-power DSP") Embedded Vision Summits, along with […]

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Software Frameworks and Toolsets for Deep Learning-based Vision Processing

Algorithms, AMD, Articles, Au-Zone Technologies, BDTI, Edge AI and Vision Alliance, MVTec, Processors, Software, Synopsys, Technical Articles, Tools /

This article provides both background and implementation-detailed information on software frameworks and toolsets for deep learning-based vision processing, an increasingly popular and robust alternative to classical computer vision algorithms. It covers the leading available software framework options, the root reasons for their abundance, and guidelines for selecting an optimal approach among the candidates for a

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Cloud-versus-Edge and Centralized-versus-Distributed: Evaluating Vision Processing Alternatives

Algorithms, AMD, Articles, Edge AI and Vision Alliance, Processors, Software, Technical Articles, Tend, Texas Instruments, Tools /

Although incorporating visual intelligence in your next product is an increasingly beneficial (not to mention practically feasible) decision, how to best implement this intelligence is less obvious. Image processing can optionally take place completely within the edge device, in a network-connected cloud server, or subdivided among these locations. And at the edge, centralized and distributed

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Are Neural Networks the Future of Machine Vision?

Articles, Basler, Technical Articles /

This technical article was originally published at Basler's website. It is reprinted here with the permission of Basler. A status report with a focus on deep learning and Convolutional Neural Networks (CNNs) What are neural networks and why are they such a topic of interest for industrial image processing? They eliminate the need for developers

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The Internet of Things That See: Opportunities, Techniques and Challenges

Algorithms, Articles, Edge AI and Vision Alliance, Processors, Sensors and Cameras, Software, Technical Articles, Tools /

This article was originally published at the 2017 Embedded World Conference. With the emergence of increasingly capable processors, image sensors, and algorithms, it's becoming practical to incorporate computer vision capabilities into a wide range of systems, enabling them to analyze their environments via video inputs. This article explores the opportunity for embedded vision, compares various

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Image Quality Analysis, Enhancement and Optimization Techniques for Computer Vision

Algolux, Algorithms, Allied Vision, Articles, Edge AI and Vision Alliance, Processors, Sensors and Cameras, Software, Technical Articles, Tools /

This article explains the differences between images intended for human viewing and for computer analysis, and how these differences factor into the hardware and software design of a camera intended for computer vision applications versus traditional still and video image capture. It discusses various methods, both industry standard and proprietary, for assessing and optimizing computer

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Imagination’s Smart, Efficient Approach to Mobile Compute

Articles, Imagination Technologies, Technical Articles /

This article was originally published at Imagination Technologies' website, where it is one of a series of articles. It is reprinted here with the permission of Imagination Technologies. Imagination designed its PowerVR Tile-Based Deferred Rendering (TBDR) graphics architecture more than 20 years ago with a focus on efficiency across performance, power consumption and system level

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Measuring GPU Compute Performance

Articles, Imagination Technologies, Technical Articles /

This article was originally published at Imagination Technologies' website, where it is one of a series of articles. It is reprinted here with the permission of Imagination Technologies. After exploring a quick guide to writing OpenCL kernels for PowerVR Rogue GPUs and analyzing a heterogeneous compute case study focused on image convolution filtering, I am

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Helping Out Reality

Articles, Intel, Technical Articles /

This article was originally published at Intel's website. It is reprinted here with the permission of Intel. One day was a summer day like any other summer day. The next, everything had changed. Like swarms, like zombies they came, walking randomly in public places, staring lost into their smart phones, growing increasingly agitated. And then,

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Scalable Electronics Driving Autonomous Vehicle Technologies

Articles, Technical Articles, Texas Instruments /

This article was originally published at Texas Instruments' website. It is reprinted here with the permission of Texas Instruments. Vehicles capable of autonomous operation are in the early stages of development today for use on the roads in the near future. To move self-driving cars from vision to reality, auto manufacturers depend on enabling electronic

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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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