Brian Dipert

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Image Analysis With Cloud-Based Cerebral Cortex Assistance

I've gotten various writeups on this particular topic forwarded to me by several Embedded Vision Alliance contacts in the last several weeks, beginning with my boss and most recently including TI's Brian Carlson, so I'm apparently supposed to write about it 😉 And after doing the research, I've decided that New York University's Interactive Telecommunications […]

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Fujitsu

Makeup Selection: An Embedded Vision-Based Determination

As I've mentioned before (several times, in fact, along with publishing a demonstration video), various embedded vision-based systems are now appearing that assist you in selecting which clothing (and what sizes of that clothing) you should purchase. Thanks to Engadget, I'm able to now tell you that Fujitsu has taken fashion to the next level.

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Gesture Interfaces Via Sound: Clever Ideas Abound

File this one under "cool concept; unclear implementation fit." Microsoft Research and the University of Washington have partnered to develop SoundWave, a proof-of-concept system that leverages a computer's microphone and speaker combo to implement rudimentary gesture control. Doppler shifts, akin to those harnessed by sonar and astronomers, are at the root of the scheme. The

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Panorama Mode: Embedded Vision Processing Blends Pixels Together Via Microcode

A recent "tweet" from the Google Android Twitter feed reminded me of a news topic I've long intended to mention: Galaxy Nexus lets you take stunning wide angle photos with a wave of your hand using Panorama mode in Android 4.0 The "wave of your hand" part is admittedly what caught my attention; I thought

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Leveraging Multicore Processors for Machine Vision Applications

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

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Samsung’s Galaxy S III: Embedded Vision In Smartphones Goes Mainstream

Samsung, a leading mobile handset developer, just introduced its next-generation Android-based Galaxy S III smartphone. Optionally powered by a Samsung-developed 1.4 GHz quad-core ARM Cortex-A9-based SoC (a dual-core Qualcomm-based model will also be offered), its formidable processing horsepower naturally begs the question of how the company plans to harness it. From the coverage I've seen

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Improve Perceptual Video Quality: Skin-Tone Macroblock Detection

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

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The Gesture Interface: Another Asian Smartphone Manufacturer Thinks It Makes Sense

Back in early November, I mentioned that South Korean cellphone manufacturer Pantech had begun augmenting some of its products with gesture interface capabilities, courtesy of the Embedded Vision Alliance's newest member, eyeSight Mobile Technologies. Add Chinese developer Huawei to the gesture interface supporter list; as reported at Engadget earlier today: The company's North American research

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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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