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Bringing computer vision to the masses

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If you have a question about this talk, please contact Robert Mullins.

For the past 40 years computer scientists and engineers have been building technology that has allowed niche machine vision from factories to Mars rovers. Until now the availability of computational power has limited the application of these technologies to niches with a strong enough need to overcome the cost and power hurdles

This is changing rapidly and the computational means have now become available to bring computer vision to mass market applications in mobile phones, tablets, drones and robots enabling brand new user-experiences within the cost, power and volumetric constraints of mobile platforms.

Movidius is focused on bring human vision and scene understanding to mobile devices rather than exclusively in the cloud allowing low power always-on vision capabilities in devices with the very low latencies required for interactive services, self-driving cars and robots etc.

Movidius is enabling a swathe of new computer vision applications to be brought to the mass market for the very first time in embedded devices such as mobile phones, tablets and cameras. And the first generation of our Myriad VPU powers the computer vision subsystem in Google’s Project Tango where we handle all of the high performance ISP , feature tracking and tracking tasks in 10x less power than any other solutions available on the market today

This video gives more detail on what project tango does

A very detailed technical presentation on our new 28nm Myriad2 product that received an enthusiastic welcomed at HotChips 2014 in Cupertino (CA) in August is available here (starts at 28:00)

This talk is part of the Computer Laboratory Computer Architecture Group Meeting series.

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