Apologies for the short notice on this one, folks, I only recently found out about it...
The image sensor is, perhaps obviously, a key piece of any embedded vision system design. This is why, for example, my first technical article published on the Alliance website discussed them. It's also why engineers at BDTI have to date delivered two technical presentations on them at Alliance Member Summits:
Some of you may remember that last September, the week before the premier Embedded Vision Summit, BDTI and the Embedded Vision Alliance delivered a free five-part embedded vision webcast series in partnership with Design News Magazine. Two weeks from now (i.e.
If you've been up on the Embedded Vision Summit page over the past several days, you may have noticed that we've added information on the event's keynote (and keynoter). The keynote presentation on "Artificial Intelligence for Robotic Butlers and Surgeons" will be delivered by Professor Pieter Abbeel of the University of California, Berkeley.
Last summer, Embedded Vision Alliance founder Jeff Bier was the keynote presenter at the IEEE Embedded Vision Workshop, held in conjunction with the IEEE CVPR (Computer Vision and Pattern Recognition) Conference. And the Embedded Vision Alliance will likely attend the Embedded Vision Workshop again this summer, although the exact form of that participation is yet to be finalized. As such, I wanted to be sure that this seminal embedded vision event is on your radar screens.
A bit more than a year ago, Alliance member CEVA unveiled its MM3101 image and embedded vision processing core. Several months later, Alliance Platinum member Analog Devices introduced four new Blackfin SoCs, two of which contain the PVP (Pipelined Vision Processor) core.
Adding one or several image sensors to a system, along with the necessary "muscle" to process the captured still and video frames, can notably enhance that system's capabilities and consequent appeal to potential customers. But then again, as editor-in-chief of the Embedded Vision Alliance, you'd expect me to harbor such a belief, right? Keep in mind, though, that along with containing cameras, many (most? all?) of these systems offer network connectivity; wired, Wi-Fi, cellular, etc.
Speaking of Apple's attempt to compensate for people's imperfections, the last paragraph of my previous writeup:
Parziale also notes that the feature is optimized for the visually impaired thanks to VoiceOver in OS X. “VoiceOver helps positioning the card in front of the camera and the very fast image processing algorithm generates very quickly the result,” according to Parziale. “The user experience is amazing.”
Back in mid-December, I discussed the barcode as a pioneering computer-now-embedded vision application, in the context of reporting the death of its co-inventor, N. Joseph Woodland. As such, a related (and more advanced) OCR (optical character recognition) innovation from Apple that came out around the same time also caught my eye.