BDTI

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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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OpenVX Enables Portable, Efficient Vision Software

OpenVX, a maturing API from the Khronos Group, enables embedded vision application software developers to efficiently harness the various processing resources available in SoCs and systems. Vision technology is now enabling a wide range of products, that are more intelligent and responsive than before, and thus more valuable to users. Such image perception, understanding, and

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“Choosing a Processor for Embedded Vision: Options and Trends,” a Presentation From BDTI

Jeff Bier, President of Berkeley Design Technology, Inc. (BDTI) and Founder of the Embedded Vision Alliance, presents the "Choosing a Processor for Embedded Vision: Options and Trends" tutorial at the May 2015 Embedded Vision Summit. Computer vision applications typically demand lots of processor performance. These applications also tend to be complex and fast-changing, so developers

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OpenCL Eases Development of Computer Vision Software for Heterogeneous Processors

OpenCL™, a maturing set of programming languages and APIs from the Khronos Group, enables software developers to efficiently harness the profusion of diverse processing resources in modern SoCs, in an abundance of applications including embedded vision. Computer scientists describe computer vision, the use of digital processing and intelligent algorithms to interpret meaning from still and

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OpenCL Eases Development of Computer Vision Software for Heterogeneous Processors

OpenCL™, a maturing set of programming languages and APIs from the Khronos Group, enables software developers to efficiently harness the profusion of diverse processing resources in modern SoCs, in an abundance of applications including embedded vision. Computer scientists describe computer vision, the use of digital processing and intelligent algorithms to interpret meaning from still and

OpenCL Eases Development of Computer Vision Software for Heterogeneous Processors Read More +

May 2014 Embedded Vision Summit Technical Presentation: “Trends and Recent Developments in Processors for Vision,” Jeff Bier, BDTI

Jeff Bier, President and co-founder of BDTI and founder of the Embedded Vision Alliance, presents the "Trends and Recent Developments in Processors for Vision" tutorial at the May 2014 Embedded Vision Summit. Processor suppliers are investing intensively in new processors for vision applications, employing a diverse range of architecture approaches to meet the conflicting requirements

May 2014 Embedded Vision Summit Technical Presentation: “Trends and Recent Developments in Processors for Vision,” Jeff Bier, BDTI Read More +

May 2014 Embedded Vision Summit Technical Presentation: “What’s New in Tools for Vision Application Design and Development?,” Jeff Bier, BDTI

Jeff Bier, President and co-founder of BDTI and founder of the Embedded Vision Alliance, presents the "What's New in Tools for Vision Application Design and Development?" tutorial at the May 2014 Embedded Vision Summit. Today, there's an unprecedented diversity of tools, APIs and libraries available for product creators who are designing and implementing vision applications,

May 2014 Embedded Vision Summit Technical Presentation: “What’s New in Tools for Vision Application Design and Development?,” Jeff Bier, BDTI Read More +

September 2013 Qualcomm UPLINQ Conference Presentation: “Accelerating Computer Vision Applications with the Hexagon DSP,” Eric Gregori, BDTI

Eric Gregori, Senior Software Engineer at BDTI, presents the "Accelerating Computer Vision Applications with the Hexagon DSP" tutorial at the September 2013 Qualcomm UPLINQ Conference. Smartphones, tablets and embedded systems increasingly use sophisticated vision algorithms to deliver capabilities like augmented reality and gesture user interfaces. Since vision algorithms are computationally demanding, a key challenge when

September 2013 Qualcomm UPLINQ Conference Presentation: “Accelerating Computer Vision Applications with the Hexagon DSP,” Eric Gregori, BDTI Read More +

April 2013 Embedded Vision Summit Technical Presentation: “Finding Objects Using Canny Edge Detection,” Eric Gregori, BDTI

Eric Gregori, senior software engineer and embedded vision specialist at BDTI, presents the "Finding Objects Using Canny Edge Detection" tutorial within the "Using Vision Algorithms" technical session at the April 2013 Embedded Vision Summit. This presentation dives into the Canny edge detection algorithm; how it works and how to use it. Topics include a Canny

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Developing OpenCV Computer Vision Apps for the Android Platform

By Eric Gregori BDTI This article was originally published at EE Times' Embedded.com Design Line. It is reprinted here with the permission of EE Times. You now can hold in the palm of your hand computing power that required a desktop PC form factor just a decade ago. And with its contributions to the development

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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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