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Image Sensors Evolve to Meet Emerging Embedded Vision Needs - Part 1

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By Brian Dipert
Embedded Vision Alliance
and Eric Gregori and Shehrzad Qureshi
Senior Engineers
This article was originally published at EDN Magazine. It is reprinted here with the permission of EDN. It was adapted from Eric and Shehrzad's technical trends presentation at the March 2012 Embedded Vision Alliance Member Summit.

In Part 1 of this two-part series put together by Embedded Vision Alliance editor-in-chief Brian Dipert and his colleagues Eric Gregori and Shehrzad Qureshi at BDTI, we look at examples of embedded vision and how the technology transition from elementary image capture to more robust image analysis, interpretation and response has led to the need for more capable image sensor subsystems.

In Part 2, "HDR processing for embedded vision," by Michael Tusch of Apical Limited, an EVA member, we discuss the dynamic range potential of image sensors, and the various technologies being employed to extend the raw image capture capability.

Look at the systems you're designing, or more generally at the devices that surround your life, and you're likely to see a camera or few staring back at you. Image sensors and their paired image processors are becoming an increasingly common presence in a diversity of electronic products. It's nearly impossible to purchase a laptop computer without a bezel-mount camera, for example, and an increasing percentage of all-in-one desktop PCs, dedicated computer displays and even televisions are now also including them.

Smartphones and tablets frequently feature image sensors, too, often located on both the front and back panels, and sometimes even arranged in "stereo" configurations for 3-D image capture purposes. And you'll even find cameras embedded in portable multimedia players and mounted in cars, among myriad other examples.

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