Brian Dipert

Embedded Vision Alliance Conversation with Gene Frantz of Texas Instruments, Part Two

Algorithms, Processors, Sensors and Cameras, Software, Texas Instruments, Tools, Videos /

Brian Dipert, Editor-In-Chief of the Embedded Vision Alliance, interviews Gene Frantz, Texas Instruments Principal Fellow. Gene, who has been with the company for nearly 40 years, did his early work with DSPs in association with the Speak & Spell speech synthesizer. In this two-part series, Gene and Brian discuss the history of the DSP both […]

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OpenCV on TI’s DSP+ARM® Platforms: Mitigating the Challenges of Porting OpenCV to Embedded Platforms

Algorithms, Articles, Processors, Software, Technical Articles, Texas Instruments, Tools /

By Joseph Coombs and Rahul Prabhu Texas Instruments This is a reprint of a Texas Instruments-published white paper, which is also available here (365 KB PDF). Abstract In today’s advancing market, the growing performance and decreasing price of embedded processors are opening many doors for developers to design highly sophisticated solutions for different end applications.

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Embedded Vision: FPGAs’ Next Notable Technology Opportunity

Algorithms, AMD, Articles, Automotive, BDTI, Face Detection, Object Tracking, Processors, Security, Software, Technical Articles /

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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Gesture Recognition–First Step Toward 3D UIs?

Algorithms, Articles, Gesture Control, Processors, Sensors and Cameras, Software, Technical Articles, Texas Instruments /

by Dong-Ik Ko and Gaurav Agarwal Texas Instruments This article was originally published in the December 2011 issue of Embedded Systems Programming. Gesture recognition is the first step to fully 3D interaction with computing devices. The authors outline the challenges and techniques to overcome them in embedded systems. As touchscreen technologies become more pervasive, users

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Kinect Built Into the PC: Prototypes Suggest Inevitability

Face Detection, Face Recognition, Gesture Control /

Two days from now, the PC-tailored and "close view"-supportive variant of Microsoft's Kinect will reportedly be available for sale. I've suspected ever since hearing the initial news of Microsoft's PC aspirations that the company's plans included not only a USB-tethered peripheral for existing systems but also a bezel-embedded Kinect version licensed to computer OEMs for

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Image Compression: Continued Breakthrough Attention

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Sometimes, I confess, I get a little jaded about technology…when it seems that all of the fundamental problems have been solved, and that we're all just waiting on Moore's Law semiconductor trends to enable the algorithm-implementation ICs to be sufficiently cost-effective, low-energy-consumptive, etc to enable broad market adoption. Sometimes…but then a news item drops into

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Kinect for Windows’ “Close Mode”: Firmware Seemingly Carries The Full Load

Face Detection, Face Recognition, Gesture Control /

Two weeks ago, when I first wrote about Microsoft's upcoming Kinect for Windows, I wondered how substantially it'd differ from the Xbox 360-intended model, and whether the changes would reflect evolution in software, hardware or both. Shortly-thereafter coverage in Wired indicated: The Kinect for Windows unit also offers a modified USB connector and better protection

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FuelingInnovationInNextGenerationOfMachineVisionApps

Fueling Innovation in the Next Generation of Machine Vision Applications

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Machine vision is a branch of computer vision which is used in industries for the analysis of objects by capturing images and performing real time analysis. Major machine vision applications exist in quality control for the semiconductor industry and consumer products industry. Vision system controllers, smart cameras and frame grabbers capture live images and helps

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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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