Traffic sign recognition is one of emerging capabilities of advanced driver assistance and safety systems. In this demonstration, images captured by a 30 fps color camera are fed to algorithms running on a DM6437 EVM board and analyzed to detect circular traffic signs. When red circles are detected, they are further analyzed and classified within […]
Traffic sign recognition is one of emerging capabilities of advanced driver assistance and safety systems. In this demonstration, images captured by a 30 fps color camera are fed to algorithms running on a DM6437 EVM board and analyzed to detect circular traffic signs. When red circles are detected, they are further analyzed and classified within
Circular Traffic Sign Recognition on a 500 MHz Texas Instruments DM6437 EVM Board Read More +
By Gaurav Agarwal, Frank Brill, Bruce Flinchbaugh, Branislav Kisacanin, Mukesh Kumar, and Jacek Stachurski Texas Instruments This is a reprint of a Texas Instruments-published white paper, which is also available here (2.1 MB PDF). Overview When a driver starts a car, he doesn’t think about starting an intelligent analytics system; sometimes, that’s precisely what he’s
“Get Smart” With TI’s Embedded Analytics Technology Read More +
By Mukesh Kumar Marketing Director, Multicore Processors Texas Instruments This is a reprint of a Texas Instruments-published white paper, which is also available here (500 KB PDF). Introduction Meeting the needs of practically any conceivable type of vision application, TI has a wide selection of processors ranging from microprocessors based on ARM cores, to SoCs
Leveraging Multicore Processors for Machine Vision Applications Read More +
By Paula Carrillo, Akira Osamoto, and Adithya K. Banninthaya Texas Instruments Accurate skin-tone reproduction is important in conventional still and video photography applications, but it's also critical in some embedded vision implementations; for accurate facial detection and recognition, for example. And intermediary lossy compression between the camera and processing circuitry is common in configurations that
Improve Perceptual Video Quality: Skin-Tone Macroblock Detection Read More +
By Dong-Ik Ko (Lead Engineer, Gesture Recognition and Depth-Sensing) and Gaurav Agarwal (Manager, Gesture Recognition and Depth-Sensing) Texas Instruments This is a reprint of a Texas Instruments-published white paper, which is also available here (2.6 MB PDF). Introduction Over the past few years, gesture recognition has made its debut in entertainment and gaming markets. Now,
Gesture Recognition: Enabling Natural Interactions With Electronics Read More +
As I first mentioned in an Embedded Vision Insights newsletter edition published shortly after the December 2011 Embedded Vision Alliance Summit, EVA member Texas Instruments (TI) has upgraded its membership to the premier Platinum tier. According to Niels Anderskouv, Vice President of Digital Signal Processing Systems at TI: Embedded vision and vision analytics are becoming
Texas Instruments’ Platinum Portal: Information That You’ll Find Vital Read More +
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
Embedded Vision Alliance Conversation with Gene Frantz of Texas Instruments, Part One Read More +
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
Embedded Vision Alliance Conversation with Gene Frantz of Texas Instruments, Part Two Read More +
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.
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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