Universal Imaging Sensor: Robotic Broadband Night Vision Camera

Award Information
Agency: Department of Defense
Branch: Defense Advanced Research Projects Agency
Contract: W31P4Q-07-C-0297
Agency Tracking Number: 07ST1-0099
Amount: $98,986.00
Phase: Phase I
Program: STTR
Awards Year: 2007
Solicitation Year: 2007
Solicitation Topic Code: ST071-009
Solicitation Number: N/A
Small Business Information
B & W TEK, INC.
#19 Shea Way, Suite 301, Newark, DE, 19713
DUNS: 964792485
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Jie Yao
 Principal Scientist
 (302) 368-7824
 jiey@bwtek.com
Business Contact
 Sean Wang
Title: CTO
Phone: (302) 368-7824
Email: swang@bwtek.com
Research Institution
 PRINCETON UNIV.
 Michelle Christy
 Office of Research&Project Adm
P.O. Box 36, 4 New South Bldg.
Princeton, NJ, 8544
 (609) 256-3090
 Nonprofit college or university
Abstract
Imaging sensors are a crucial component of modern defense. The ideal sensor has acute visual sensing capabilities and communicates instantly when threats are identified. It should also have night vision capabilities and cover a broadband spectral range including near ultraviolet and infrared. A robotic broadband night vision camera is highly desirable. Such a robotic broadband low-light-level camera is feasible today. We propose to integrate a broadband semiconductor image intensifier with night vision sensitivity with a commercial-off-the-shelf camera cellular phone, and modify the cell phone circuitry and program it with image recognition and compression algorithms developed by Galaxy Scientific, whose image compression products have been installed on United States Navy 3rd Fleet and seen action in the Persian Gulf in support of Middle Eastern military campaign. Such an autonomous system will combine night vision sensitivities and the broadband ultra-violet, visible and near infrared coverage over 200 - 1650 nm with the light weight, small size and low cost of the commercial camera cell phone. Phase I will see the proof of concept. Phase II will see the integration of the proposed camera into a robotic image requisition, recognition, compression and transmission system for evaluation at DoD laboratories.

* information listed above is at the time of submission.

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