Programmable Data Processor

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2014-CULU-66770
Tagging images and videos on mobile devices is an open market. Many software companies recently began to work on deep learning techniques; however, such techniques are limited by the low-performance hardware of mobile phones. In addition, some of the existing products are task-specific and cannot be reprogramed to perform new tasks.

Researchers at Purdue University have developed a new system of hardware and software that can solve state-of-the-art, complex, vision tasks. This system includes a novel hardware architecture that provides low-power operation and simultaneously a high number of operations for a whole class of vision algorithms while maintaining complete programmability. This system adapts new tasks with minor reprogramming and scale more efficiently to new vision models.

Advantages:
-Can solve state-of-the-art, complex, vision tasks
-Provides low-power operation and simultaneously a high number of operations
-Adapt new tasks with minor reprogramming
-Scale more efficiently to new vision models
Dec 31, 2017
CON-Patent
United States
10,157,156
Dec 18, 2018

Mar 17, 2015
Utility Patent
United States
9,858,220
Jan 2, 2018

Mar 17, 2014
Provisional-Patent
United States
(None)
(None)
Purdue Office of Technology Commercialization
1801 Newman Road
West Lafayette, IN 47906

Phone: (765) 588-3475
Fax: (765) 463-3486
Email: otcip@prf.org