Unlike the current trend, our objective is to develop a low-cost, ultra-light computer vision-based device for rollator users.
The applications for computer vision inside a device like Google Glass, for instance, are pretty staggering.
As a startup, Perceptiv is targeting a much larger opportunity that includes much more ambitious advances in computer vision and autonomous device operation.
Foreground detection technologies have emerged as an important research area with increasing popularity of computer vision and camera devices.
With the rise of computer vision, our smart devices are poised to have their own Cambrian explosion.
Apple could be developing technology that would eventually make it to the iPhone, similar to something like Google's Project Tango, which brings computer vision to mobile devices.
I've been talking to El-Ouazzane about the possibilities of the Myriad 1 and computer vision on mobile devices for some time.
Complex-valued neural networks have been found highly useful in extending the scope of applications in optoelectronics, filtering, imaging, speech synthesis, computer vision, remote sensing, quantum devices, spatio-temporal analysis of physiological neural devices and systems, and artificial neural information processing [20, 21].
Security cameras have long been a focus for Movidius, whose low-power VPU has been the darling of tech companies like Google looking to bring complex computer vision processing to their devices.
Reduced Energy Microsystems wants to upend the status quo with a chip tech that could seriously improve the AI and computer vision capabilities of everyday devices — but that the competition is too set in their ways to adopt.
