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Acquisition and Tracking Algorithms for Multi-Resolution (Foveal) Sensors

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8651-15-C-0179
Agency Tracking Number: F071-155-3279a
Amount: $749,393.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: AF071-155
Solicitation Number: 2007.1
Timeline
Solicitation Year: 2015
Award Year: 2016
Award Start Date (Proposal Award Date): 2016-01-10
Award End Date (Contract End Date): 2017-09-24
Small Business Information
5385 Hollister Ave MS 105
Santa Barbara, CA, CA 93111
United States
DUNS: 167202097
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 John Caulfield
 (805) 453-0582
 john@cyan-systems.com
Business Contact
 Sarah Kreik
Phone: (310) 623-2326
Email: sarah@cyan-systems.com
Research Institution
N/A
Abstract

ABSTRACT:Goals of this Autofoveation Sensor Technology (AFOST) small camera/algorithm effort are to continue to optimize on FPA automated tiling/autofoveation processing merge closed loop processing performance with the aid of near sensor processors. We will provide a path toward larger format sensors for small platforms.The potential for high resolution compact sensors on small platforms along with the advent of 3 Dimensional stacked ROIC based IR Focal Plane Arrays drives a future requirement for more advanced sensors with integrated guidance and track processing on or near the FPA.BENEFIT:Develop advanced technique in automated IR image foveation. such as:Target detection using autofoveation and implement algorithms to detect objects under motion and jittering conditions such as what exists in moving platforms.Software to simultaneously display the region of interest (ROI) fovea and full frame binary target data or standard 14 bit video data.

* Information listed above is at the time of submission. *

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