by Nick Farrell, TechEye
Apparently real-time object recognition requires huge wodges of processing power and a whole room of servers to pull off. But if you could manage it on a mobile phone or hand-held device the world would be your oyster. A small group of boffins at Yale University claim to have developed a “supercomputer” able to do real-time object recognition. Dubbed NueFlow it is a neural network mapped onto an FGPA, and can easily fit on the top of a desk, in a car, and eventually into a smartphone. Top boffin Eugenio Culurciello of Yale’s School of Engineering & Applied Science, said NueFlow works by simulating the mammalian visual system.
http://www.techeye.net/chips/computer-on-a-chip-provides-computer-vision
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