Brian Dipert

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Omek Interactive’s Beckon: Gesture Interfaces Now On The Texas Instruments-Based BeagleBoard-xM

Hopefully, some of you have already had the opportunity to audition the recently published presentation done by Jonathan Epstein, Omek Interactive's President, at the late March Embedded Vision Alliance Summit: Jonathan spoke at length about Beckon, one of the two primary gesture interface middleware-and-tools products supported by the company, the other being Grasp. In both […]

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Smart Enhanced Back-Up Camera (SmartEBC) for CV220X Image Cognition Processors

By Tina Jeffrey Program Manager CogniVue This  is a reprint of a CogniVue-published white paper in the company's Knowledge Center, and is also available here (1.2 MB PDF). The CogniVue Smart Enhanced BackUp Camera (SmartEBC) is a revolutionary automotive rear-view camera application that analyzes image data from a single image sensor to track objects in

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Embedded Vision Insights: June 19, 2012 Edition

In this edition of Embedded Vision Insights: In the Summer, a Young Man's Fancy Lightly Turns to Thoughts of…Summits? Embedded Vision Market and Technology Trends Tutorials Enhancing Robotics Applications Via Embedded Vision Embedded Vision in the News LETTER FROM THE EDITOR Dear Colleague, It's mid-June and, for many of you, thoughts might be wandering towards

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Blind Spot Detection Demonstration on CV220X Image Cognition Processors

CogniVue's blind spot detection demonstration illustrates how the CV220X, a 9x9mm2 package device consuming less than 250mW of power, can be embedded and used in a camera module in a vehicle's side mirror. In this demonstration, vehicles entering a 3 meter blind spot of the host vehicle are detected and tracked. The indicator turns red

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CogniVue Motion Detection and Tracking Demonstration

CogniVue's motion detection and tracking demonstration shows how an individual's motion is identified and tracked. This basic demonstration software runs on the CV220X Image Cognition Processor, a low power, 9x9mm2 SoC designed specifically for image processing and pattern detection/recognition functions, useful in a variety of computer vision applications.

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Smart Enhanced Backup Camera Application Software for CV2201 Image Cognition Processors

CogniVue's smart enhanced backup camera application software runs on the CV220X family of Image Cognition Processors and provides a complete smart rear view application for ensuring driver safety while reversing, in order to avoid back-over accidents and collisions. The software performs wide angle lens distortion correction, object detection, and distance estimation in real-time using a

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A Collision Avoidance System Demonstration on CogniVue’s CV220X Image Cognition Processor

CogniVue's collision avoidance system demonstration uses the CV220X Image Cognition Processor to detect and track a vehicle's lane as well as detect and track an obstacle vehicle in the path of the host vehicle. An alarm indicator signals when the obstacle vehicle comes within a warning threshold distance. The CV220X offers the best performance, per

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Making Commercials More Engaging: Embedded Vision’s Trying

Some of you may have been already following the recent spat of back-and-forth lawsuits between DISH Networks and a group of broadcasters. In brief, at January's CES (Consumer Electronics Show), DISH introduced a PVR (personal video recorder, also sometimes called a DVR aka digitial video recorder) called Hopper, which simultaneously recorded up to six programs

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Adding Gesture Control to Google Earth Using a Microsoft Kinect

CogniMem’s Chris McCormick, applications engineer, demonstrates how the addition of CogniMem’s general-purpose and scalable pattern recognition technology can be used to add hand  gesture control to applications like Google Earth, in combination with the Microsoft Kinect. Cognimem CM1K is a massively parallel pattern recognition hardware accelerator than can learn and recognize in real time, as

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Playing “World of Goo” Via Hand Gestures, Using CogniMem’s Pattern Recognition Technology

This example game is being played using only hand gestures, by means of a Microsoft Kinect paired with a CogniMem Technologies CM1K neural network processor. The extended multi-level play is suggestive of the robustness of the implementation. No modifications were made either to the game itself or to the Kinect peripheral. For more, see this

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