Researchers at Kings College London, University College London (UCL), and Kingston University in the U.K. are leading the Engineering and Physical Sciences Research Council-funded Internet of Silicon Retinas (IOSIRE) project, which aims to develop advanced machine-to-machine communication systems that capture and transmit images from highly efficient vision sensors mimicking the human retina.
Conventional cameras waste a lot of memory, computing power, and time by generating entirely new images for each frame, according to UCL principal investigator Yiannis Andreopoulos.
However, recently developed dynamic vision sensors (DVS) emulate the way the retina works by only updating the image at those points where a movement or change in the scene has occurred. The researchers say this significantly increases the speed at which the sensors can produce video frames, resulting in rates up of up to 1,000 frames a second, compared to up to 30 frames a second with conventional cameras.
From The Engineer (United Kingdom)
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