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Awards

Topic Information Award/Contract Number Proposal Information Company Performance
Period
Award/Contract
Value
Abstract

08.1-1
Signal Processing Algorithms to Nominate Potential Targets and Eliminate False Positives in the Non-Intrusive Inspection of Cargo Conveyances

HSHQDC-08-C-00149 SBIR-08-1-TA1-CEI1
(HSHQDC-08-R-00066 Phase I)
Standalone Multiple Anomaly Recognition Technique

Creative Electron
2710 Glasgow Dr.
Carlsbad, CA 92010-6535

09/22/2008
to
03/21/2009
$149,913.20

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.

08.1-1
Signal Processing Algorithms to Nominate Potential Targets and Eliminate False Positives in the Non-Intrusive Inspection of Cargo Conveyances

HSHQDC-09-C-00151 SBIR-08-1-TA1-CEI1-II
(HSHQDC-08-R-00066 Phase II)
Standalone Multiple Anomaly Recognition Technique

Creative Electron
310 Via Vera Cruz, Suite 107
San Marcos, CA 92078-2631

09/28/2009
to
09/27/2010
$500,000.00

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.

08.1-1
Signal Processing Algorithms to Nominate Potential Targets and Eliminate False Positives in the Non-Intrusive Inspection of Cargo Conveyances

HSHQDC-08-C-00153 SBIR-08-1-TA1-FOR1
(HSHQDC-08-R-00066 Phase I)
Cargo X-Ray Image Anomaly Detection Using Intelligent Agents

FORELL Enterprises, Inc.
6061 Dale Street, Suite N
Buena Park, CA 90621-4153

09/22/2008
to
03/21/2009
$149,595.93

Our technical concept applies FORELL's unique intelligent agent technology to learn rules for detection of anomalies in images created by high energy x-rays, thereby reducing operator load, reducing false positives, and reducing inspection time. Our technology is unique in the creation of anomaly detection rules that are automatically generated through a unique intelligent agent learning capability. In addition, our agents have an inherent ambiguity resolution capability, to identify objects not seen before. This generalization capability is especially applicable to the x-ray imaging detection domain, because not everything in the universe can be learned. Our intelligent agents have an inherent reasoning capability that will help operators discern much quicker. In our approach we will transform the image data to a reduced number set of numeric data for each grid in the x-ray, called a sub-scene. FORELL will use pixel data to produce a coefficient based description of each sub-scene within an image. Because pixel data can be associated with density, the coefficient data will contain information an intelligent agent can associate with objects it has been trained to recognize. In the learning mode sub-scenes with known truth are used to train intelligent agents to recognize anomalous areas within an image. This information can than be used for alert processing.

08.1-4
Non-Radioactive Alternatives or Techniques to Replace Radioactive Sources in Commercial Applications

HSHQDC-08-C-00167 SBIR-08-1-TA4-RBT1
(HSHQDC-08-R-00066 Phase I)
An ultra-low cost miniature X-band linac to replace radionuclide gamma sources

RadiaBeam Technologies, LLC
13428 Beach Avenue
Marina Del Rey, CA 90292-5624

09/22/2008
to
03/21/2009
$150,000.00

One of the objectives of the DNDO is to dramatically reduce the amount of radioactive material in use in order to improve public security and prevent the diversion of radioactive material for Radiation Dispersion Devices (so-called "dirty bombs"). RadiaBeam Technologies proposes the development of an inexpensive, handportable accelerator to replace radionuclide radiography devices. The accelerator, which we term the MicroLinac, is based on X-band RF linac technology developed at SLAC, and is powered by a commercially available inexpensive RF source. The entire system would weigh less than 25 lbs and could be sold in the future for less than $30k. Such s device will offer a competitive, commercially viable and, most importantly, much safer radiation source for industrial and medical radiography and well logging applications, thus simultaneously promoting technological advancement and public safety.

08.1-4
Non-Radioactive Alternatives or Techniques to Replace Radioactive Sources in Commercial Applications

HSHQDC-10-C-00148 SBIR-08-1-TA4-RBT1-II
(HSHQDC-08-R-00066 Phase II)
An ultra-low cost miniature X-band linac to replace radionuclide gamma sources

RadiaBeam Technologies, LLC
13428 Beach Ave
Marina Del Rey, CA 90292-

07/30/2010
to
07/29/2012
$999,044.00

One of the objectives of the DNDO is to dramatically reduce the amount of radioactive material in use in order to improve public security and prevent the diversion of radioactive material for Radiation Dispersion Devices (so-called "dirty bombs"). RadiaBeam Technologies proposes the development of an inexpensive, handportable accelerator to replace radionuclide radiography devices. The accelerator, which we term the MicroLinac, is based on X-band RF linac technology developed at SLAC, and is powered by a commercially available inexpensive RF source. The entire system would weigh less than 25 lbs and could be sold in the future for less than $30k. Such s device will offer a competitive, commercially viable and, most importantly, much safer radiation source for industrial and medical radiography and well logging applications, thus simultaneously promoting technological advancement and public safety.