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Automatic Threat Recognition Algorithm for Volumetric CT Data

Award Information
Agency: Department of Homeland Security
Branch: N/A
Contract: HSHQDC-12-C-00076
Agency Tracking Number: DHS SBIR-2012.2-H-SB012.2-002-0001-I
Amount: $149,911.19
Phase: Phase I
Program: SBIR
Solicitation Topic Code: H-SB012.2-002
Solicitation Number: DHS SBIR-2012.2
Solicitation Year: 2012
Award Year: 2012
Award Start Date (Proposal Award Date): 2012-09-15
Award End Date (Contract End Date): 2013-07-14
Small Business Information
7391 Prairie Falcon Rd Suite 150-B
Las Vegas, NV 89128-0186
United States
DUNS: 621380620
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Samuel Song
 (702) 281-8198
Business Contact
 Douglas Boyd
Title: CEO and President
Phone: (650) 346-0227
Research Institution

This Phase I proposal describes the development of an Automatic Threat Recognition (ATR) algorithm for volumetric CT data. Our ATR algorithm consists of four stages: (1) preprocessing of CT data, (2) object segmentation of preprocessed CT data, (3) post-processing of segmentation results, and (4) explosive detection from the segmented objects. The ATR algorithm will be made computationally efficient by GPGPU programming in order to meet desired throughput of the screening process. The performance of the ATR algorithm will be thoroughly analyzed via extensive experiments with CT dataset of typical checked bags with ground truth.

Since a preliminary segmentation algorithm is already built, Phase I begins from TRL 3 and concludes with experiments and comprehensive quantitative performance analysis (TRL 4). A DICOS-compliant ATR algorithm and standard CT test datasets for reliable quantification of explosive detection performance is expected at the end of Phase II.

* Information listed above is at the time of submission. *

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