Back in late October, I mentioned a number of filed-and-granted Apple patents related to embedded vision. Following in the footsteps of Google and Nokia , the company has registered patent protection for a facial recognition-based system login scheme (at least according to 9to5Mac, Cult of Mac, Engadget, MacRumors, The Unofficial Apple Weblog, and VentureBeat). Next […]
Apple’s iOS: Embedded Vision Developments Read More +
Facial recognition technology may not yet be able to swiftly (or for that matter, reliably regardless of speed) identify a particular person, but it's already able to do a credible job with lesser-complexity tasks, such as discerning an individual's gender, ethnicity or general age group. To the latter point, the above-pictured vending machine was co-developed
No Pudding For You! To Kids, Intel And Kraft May Be Cruel* Read More +
Oakland, California, December 6, 2011 — With its membership now numbering 20 sponsoring companies, the Embedded Vision Alliance today announced the opening of a free online training facility for embedded vision product developers. Called the Embedded Vision Academy, this program provides training and other resources to help engineers integrate visual intelligence―the ability of electronic systems
by Jeff Bier Founder and President, BDTI September 29, 2011 This paper was originally published at the 2011 Embedded Systems Conference Boston. Abstract—With the emergence of increasingly capable processors, it’s becoming practical to incorporate computer vision capabilities into a wide range of embedded systems, enabling them to analyze their environments via video inputs. Products like
Implementing Vision Capabilities in Embedded Systems Read More +
By Brian Dipert Editor-In-Chief Embedded Vision Alliance Senior Analyst BDTI On September 20, representatives from 18 (of 20 to-date total) Embedded Vision Alliance member companies met in San Jose, CA at the facilities of Alliance member Xilinx. The daylong series of briefings, planning sessions and relationship-building opportunities were judged highly rewarding by all in attendance,
September’s Initial Embedded Vision Alliance Member Summit: A Resounding Success Read More +
My previous writeup points out that Anthony Oliver, Chief Technology Officer at Ingenuitas, sees built-in support for server-side processing of image data captured by a low-tech, inexpensive camera as one of the key benefits of his company's championed SimpleCV API. His quote reminded me that Google recently updated the Goggles app for Android, adding optional
Google Goggles: One Of Many Cloud-Based Processing Examples Read More +
by Shehrzad Qureshi Senior Engineer, BDTI May 14, 2011 A typical processing pipeline for computer vision is given in Figure 1 below: The focus of this article is on the lens correction block. In less than ideal optical systems, like those which will be found in cheaper smartphones and tablets, incoming frames will tend to
Lens Distortion Correction Read More +
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