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Building Machines That See: Finding Edges in Images

By Eric Gregori Senior Software Engineer BDTI This article was originally published at EE Times' Embedded.com Design Line. It is reprinted here with the permission of EE Times. With the emergence of increasingly capable low-cost processors and image sensors, it’s becoming practical to incorporate computer vision capabilities into a wide range of embedded systems, enabling […]

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Introduction to Embedded Vision and the OpenCV Library (Embedded.com Article)

By Eric Gregori Senior Software Engineer BDTI This article was originally published at EE Times' Embedded.com Design Line. It is reprinted here with the permission of EE Times. The term “embedded vision” refers to the use of computer vision technology in embedded systems. Stated another way, “embedded vision” refers to embedded systems that extract meaning

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March 2012 Embedded Vision Alliance Summit Technology Trends Presentation on Image Sensors

BDTI Senior Engineers Eric Gregori and Shehrzad Qureshi deliver a techology trends presentation on image sensors for embedded vision applications, at the late-March 2012 Embedded Vision Alliance Summit. Eric and Shehrzad discuss trends regarding conventional 2-D image sensors, as well as those supporting "3-D" (depth discernment) and "4-D" (i.e. selective focus, otherwise known as light

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Start Developing OpenCV Applications Immediately Using the BDTI Quick-Start OpenCV Kit (Article)

OpenCV is an open-source software component library for computer vision application development.  OpenCV is a powerful tool for prototyping embedded vision algorithms.  Originally released in 2000, it has been downloaded over 3.5 million times.  The OpenCV library supports over 2,500 functions and contains dozens of valuable vision application examples.  The library supports C, C++, and

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Start Developing OpenCV Applications Immediately Using the BDTI Quick-Start OpenCV Kit (Download)

OpenCV is an open-source software component library for computer vision application development. OpenCV is a powerful tool for prototyping embedded vision algorithms. Originally released in 2000, it has been downloaded over 3.5 million times. The OpenCV library supports over 2,500 functions and contains dozens of valuable vision application examples. The… Start Developing OpenCV Applications Immediately

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Processing Options For Implementing Vision Capabilities in Embedded Systems

By Jeff Bier Founder Embedded Vision Alliance Co-Founder and President BDTI This article was originally published on Altera's Technology Center. It is reprinted here with the permission of Altera. With the emergence of increasingly capable processors, image sensors, memories and other semiconductor devices, along with associated algorithms, it's becoming practical to incorporate computer vision capabilities

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Vision-Based Gesture Recognition: An Ideal Human Interface for Industrial Control Applications

By Brian Dipert Editor-In-Chief Embedded Vision Alliance Senior Analyst BDTI This article was originally published in Digi-Key's Microcontroller TechZone. An excerpt of it is reprinted here with the permission of Digi-Key. Embedded vision, the evolution and extrapolation of computer-based vision systems that process and interpret meaning from still and video images, is poised to be

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Embedded Vision: FPGAs’ Next Notable Technology Opportunity

By Brian Dipert Editor-In-Chief Embedded Vision Alliance Senior Analyst BDTI This article was originally published in the First Quarter 2012 issue (PDF) of the Xilinx Xcell Journal. It is reprinted here with the permission of Xilinx. A jointly developed reference design validates the potential of Xilinx’s Zynq device in a burgeoning application category. By Brian

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Selecting and Designing with an Image Sensor: The Tradeoffs You’ll Need to Master

By Brian Dipert Editor-In-Chief Embedded Vision Alliance Senior Analyst BDTI A diversity of image sensor options are available for your consideration, differentiated both in terms of their fundamental semiconductor process foundations and of their circuit (and filter, microlens and other supplement) implementations. Understanding their respective strengths and shortcomings is critical to making an appropriate product

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Implementing Vision Capabilities in Embedded Systems

by Jeff Bier Founder and President, BDTI September 29, 2011 This paper was originally published at the 2011 Embedded Systems Conference Boston. Abstract—With the emergence of increasingly capable processors, it’s becoming practical to incorporate computer vision capabilities into a wide range of embedded systems, enabling them to analyze their environments via video inputs. Products like

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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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