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Beyond stream processing??? A distributed vision architecture for the Internet of Things
(IEEE, 2016)
An ‘edge-based’ image processing architecture for
the internet of things (IoT) is devised, drawing on the existing
image processing pipelines that are implemented in today’s
imaging modules in digital cameras and ...
Champions in our midst: the Apple doesn't fall far from the tree
(IEEE, 2016-01)
In this issue, we are very proud to introduce you to one of the best-known early pioneers of the computer industry. His work on the early Apple computers catalyzed today's home computer industry, and he participated directly ...
Biometric technology and smartphones: a consideration of the practicalities of a broad adoption of biometrics and the likely impacts
(IEEE, 2016-04)
The Widespread Global Adoption of Smartphones across all demographics and the rapid commoditization of the technology to the point at which an entry-level device can be sold profitably for less than US$100 suggest that we ...
The Internet of Things: why now, and what's next?
(IEEE, 2016-01)
The technology to connect "things" to the Internet has existed for more than 20 years, so if we take a look back at recent history, we might well be tempted to ask the question "Why now" In this article, I address that ...
Just another year in the consumer electronics industry? [notes from the editor]
(IEEE, 2016-01-01)
Welcome to another CES show issue of IEEE Conumer Electronics Magazine. This issue is aligned with the International CES held in Las Vegas, a global meeting for the consumer electronics (CE) industry where you can view the ...
Smartphones, biometrics, and a brave new world
(Institute of Electrical and Electronics Engineers (IEEE), 2016-09-09)
In this article, we take a somewhat contrarian viewpoint - that biometrics may, in fact, offer solutions to many of today's cyber-security problems that appear with increasing frequency in prime-time news. This outcome ...
Iris liveness detection for next generation smartphones
(Institute of Electrical and Electronics Engineers, 2016-07-19)
This paper presents a novel liveness detection method that exploits the acquisition workflow for iris biometrics on smartphones using a hybrid visible (RGB)/near infra-red (NIR) sensor. These devices are able to capture ...