Universal Imaging Sensor

Award Information
Agency:
Department of Defense
Branch
Defense Advanced Research Projects Agency
Amount:
$99,000.00
Award Year:
2007
Program:
STTR
Phase:
Phase I
Contract:
W31P4Q-07-C-0264
Agency Tracking Number:
07ST1-0109
Solicitation Year:
2007
Solicitation Topic Code:
ST071-009
Solicitation Number:
n/a
Small Business Information
LATEL CORP.
217 OAK LEE DR., SUITE 10-108, RANSON, WV, 25438
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
949019624
Principal Investigator:
HENRY DAY
CHIEF ENGINEER
(304) 699-4396
latelcorp@hotmail.com
Business Contact:
CORLYN BARTO
VP-Adminstration
(304) 699-4396
latelcorp@hotmail.com
Research Institution:
AUBURN UNIV.
Alvin Lim
Dept. of Computer Science
105F Dunstan Hall
Auburn, MD, 36849 5347
(334) 844-6326
Nonprofit college or university
Abstract
In the conduct of modern warfare, situation awareness of forces and the locality of hostile elements are of paramount importance. Other non-imaging sensors such as acoustic and seismic ones are helpful toward this end, but their probability of detect and target identification ability are limited. The only absolute representation of the situation is a video image. This proposal presents the design of a wireless imaging sensor that could deliver a video frame of the targeted object area back to the base station for analysis and action. Commercial-off-the-shelf components will be exploited for their cost-effectiveness. Packaging schemes will be designed to integrate the video sensor and transmitter for a compact structure. These low-cost imaging sensors can be deployed in an autonomous mode, or be configured in a network for maximum coverage. This video network will contain adaptive protocols for maximum efficiency. To conserve power, novel power supply techniques will be implemented, and other triggers will be deployed to activate the sensors when necessary. Transceiver-repeaters will be strategically positioned for video transmission range extension. This imaging sensor incorporates object recognition algorithms so that only significant intrusion will be processed and alerted for further action.

* information listed above is at the time of submission.

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