Standalone Multiple Anomaly Recognition Technique

Award Information
Agency:
Department of Homeland Security
Branch
n/a
Amount:
$149,913.00
Award Year:
2008
Program:
SBIR
Phase:
Phase I
Contract:
HSHQDC-08-C-00149
Award Id:
84024
Agency Tracking Number:
08-1-TA1-CEI1-002
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
Creative Electron, Inc. (Currently Creative Electron, INC)
2710 Glasgow Dr, Carlsbad, CA, 92010
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
827430583
Principal Investigator:
Bill Cardoso
Principal Investigator
(630) 456-0055
bcardoso@creativeelectron.com
Business Contact:
Bill Cardoso
President
(630) 456-0055
bcardoso@creativeelectron.com
Research Institution:
n/a
Abstract
Threat materials can take many shapes and therefore this software tool must be able to perform anomaly detection instead of specific shape detection. The problem of solely relying on a database of images and a matching algorithm is that objects in the image may be shifted, rotated, or the image quality is too poor for a reliable match. Thus, this proposal focuses on the development of an anomaly recognition algorithm that is able to achieve low false positive rates even with low quality input images. Our proposed research will develop an innovative Standalone Multiple Anomaly Recognition Technique (SMART) to determine the presence of contraband in non intrusive inspection (NII) images of trucks and cargo containers. SMART will be able to position in the NII image the location of the potential contraband by using state-of-the-art spectral decomposition analysis techniques to efficiently differentiate the common background of the image against anomalies. These anomalies, in most cases, represent contraband concealed in the cargo.

* information listed above is at the time of submission.

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