DigitalTripwire - A Small, Automated Human-Detection System

Award Information
Agency:
Department of Defense
Branch
Defense Advanced Research Projects Agency
Amount:
$98,997.00
Award Year:
2007
Program:
STTR
Phase:
Phase I
Contract:
W31P4Q-07-C-0280
Award Id:
83218
Agency Tracking Number:
07ST1-0094
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
6825 Pine Street, Suite 141, Omaha, NE, 68106
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
949183701
Principal Investigator:
KevinBlenkhorn
Director
(703) 236-6993
kevin.blenkhorn@21csi.com
Business Contact:
StuartAldridge
Deputy CTO
(402) 505-7887
stuart@21csi.com
Research Institute:
MISSOURI STATE UNIV.
James P Baker
901 South National Avenue
Springfield, MO, 65897
(417) 836-5972
Nonprofit college or university
Abstract
We currently have thousands of security cameras in the war zone. Automated Target Recognition (ATR) is essential for reducing the manpower required for monitoring the security cameras. Having human operators staring at video screens for hours at a time is not an effective use of our forces. ATR is a terrific force-multiplier since it reduces the number of security personnel required to monitor surveillance systems. A combined system with software-agents monitoring multiple cameras, backed up by a small number of security personnel will make a very powerful system, with minimal false-negatives or false-positives. The team of 21st Century Systems Incorporated and Missouri State University is pleased to propose to research and develop our DigitalTripwire concept. The DigitalTripwire system is a small, self-contained sensor that can operate unattended for weeks or months on battery power. It is intended to augment security operations by providing persistent surveillance for the area in the camera's field of view. The device itself consists of a small single-board computer connected to a video camera and a wireless network interface. The heart of the system is computer vision software that analyses the video stream from the camera and classifies objects into categories.

* information listed above is at the time of submission.

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