PROBLEM
In traditional computer vision systems, signals are created and the data is transferred from memory to processing and back to memory. The process takes a lot of time and energy.
SOLUTION
Purdue University researchers are creating a computer vision system that mimics the human retina in terms of light perception, making it potentially much less data intensive than traditional systems. Their device has integrated functions of light perception, light-to-electric-signal transformation, and on-site memory and data processing.
PRIMARY INVESTIGATOR
Jianguo Mei, College of Science
IN THE MEDIA
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INNOVATION DISCLOSURES
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LICENSING CONTACTS
Email: otcip@prf.org
MEDIA CONTACT
Email: Steve Martin // sgmartin@prf.org
