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Standalone Multiple Anomaly Recognition Technique
- Small Business Information
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Woman-Owned: NoMinority-Owned: NoHUBZone-Owned: No
- Phase 1
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Fiscal Year: 2008Title: Standalone Multiple Anomaly Recognition TechniqueAgency: DHSContract: HSHQDC-08-C-00149Award Amount: $149,913.00
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.Small Business Information at Submission:Creative Electron, Inc.
2710 Glasgow Dr Carlsbad, CA 92010EIN/Tax ID: 262826099DUNS: N/ANumber of Employees:Woman-Owned: NoMinority-Owned: NoHUBZone-Owned: No
Award Information
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Agency: Department of Homeland Security |
Branch: N/A |
Award ID: 84024 |
Program Year/Program: 2008 / SBIR |
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Agency Tracking Number: 08-1-TA1-CEI1-002 |
Solicitation Year: N/A |
Solicitation Topic Code: N/A |
Solicitation Number: N/A |