Brian Dipert

The Next-Generation Microsoft Kinect: Inching Ever Closer To Perfect?

Last November, rumors began circulating in cyberspace regarding the next-generation Microsoft Kinect peripheral…that it would be, for example, accurate enough to read the lips of people sitting in front of it, along with delivering improved motion tracking and voice recognition (the latter by virtue of the camera peripheral's integrated microphone array), and being "able to […]

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Samsung’s Galaxy S III: A Smartphone That Takes Embedded Vision Seriously

Back in early May, I dedicated a news writeup to Samsung's just-announced and latest-generation Galaxy S III smartphone, by virtue of its abundance of embedded vision talents. Since it's based on the Android v4 O/S, it automatically supports Google's facial recognition unlock scheme (which Samsung has augmented by requiring you to not only stare into

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TI And Biometrics: A DSP Development Kit Purports To Make Implementation A Breeze

Speaking of Texas Instruments, a few weeks ago the company introduced its new TMS320C6748 DSP Development Kit, which is intended to support real-time video analytics (specifically biometrics, for access control) applications such as fingerprint identification and face detection-and-recognition. From the press release: The C6748 DSP development kit comes pre-loaded with TI's new C6748 SYS/BIOS Software

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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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