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In-depth information about the embedded vision market, applications, technologies, products, and trends.

The content in this section of the website comes from Embedded Vision Alliance™ members and other industry luminaries. The Overview shows all of the content, sorted by date. Other tabs sort the material by type. If you'd like to contribute an original, in-depth article to the Alliance, propose your content in this section of the forum.

Gary Bradski, the creator of OpenCV (the open-source library for computer vision), discusses some of the features of OpenCV version 2.0.

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The transition from analog to network video surveillance equipment is forecast to drive growth of over 7% over the next five years.

José Alvarez, Video Technology Engineering Director at Xilinx, discusses a flexible ISP implementation using FPGA dynamic processing blocks.

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Achieving aesthetically pleasing camera images is normally considered distinct from the various tasks encompassed in embedded vision.

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A diversity of image sensors are available for your consideration, differentiated by their process foundations and circuit implementations.

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With the emergence of increasingly capable processors, it's now practical to incorporate computer vision into a range of embedded systems.

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In the last five years, the automotive industry has made remarkable advances in systems that truly enrich the driving experience.

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This video training session covers some of the algorithms available in OpenCV, and is intended for programmers and non-programmers alike.

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With a simple web camera, some open source software, and an animatronic head kit, FaceBot will introduce you to face detection and tracking.

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The BDTI OpenCV Executable Demo Package easily allows anyone with a Windows computer and a web camera to experiment with OpenCV algorithms.

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