PrintPrint

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-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.

09.1-1
X-ray Generators to Enhance Material Discrimination Capability of Non Intrusive Inspection (NII) Imaging Systems

HSHQDC-10-C-00027 HSHQDC-09-R-00041-0911002-I
(HSHQDC-09-R-00041 Phase I)
Development of a 3/6/9 MeV X-ray Generator

Accuray Incorporated
1310 Chesapeake Terrace
Sunnyvale, CA 94089-1100

01/08/2010
to
06/08/2010
$120,300.00

Accuray bases this proposal on an X-ray generator, model DX500K, designed, built, and delivered to a major contractor in December 2008 as part of the DNDO-CAARS program. Accuray's DX500K operates at single or dual energy modes of 6 MeV and 9 MeV and interleaves between 6 MeV and 9 MeV at 400 Hz. The pulse to pulse jitter is negligible-- a major performance factor in high Z detection. The system operates in X-band making DX500K compact in size and weight. The strong progress of 6/9 MeV interleaved radiation as a means to detect high Z threat materials renders it a natural starting point for development of a 3/6/9 MeV interleaf system so that a single machine can accomplish multiple detection objectives in cargo inspection. We propose to use the DX500K as foundation to design a new system with energies 3, 6, and 9 MeV in single and interleaf modes. The repetition rate will be 800 Hz minimum with dose rates given in the technical proposal. Accuray has extensive experience in X-band accelerators. Our primary business in medical accelerators augments development of other applications via engineering, facilities and infrastructure and can easily transition to volume production.

09.1-1
X-ray Generators to Enhance Material Discrimination Capability of Non Intrusive Inspection (NII) Imaging Systems

HSHQDC-09-C-00109 HSHQDC-09-R-00041-0911028-I
(HSHQDC-09-R-00041 Phase I)
A High Repetition Rate Dual-Energy LINAC for Non Intrusive Inspection

RadiaBeam Technologies, LLC
13428 Beach Ave.
Marina del Rey, CA 90292-5624

10/01/2009
to
03/31/2010
$150,000.00

Multi-energy radiography is a promising Non-Intrusive Inspection (NII) technique for detection of Special Nuclear Materials (SNM). RadiaBeam Technologies proposes to develop an ultra-high repetition rate commercial linac system capable of pushing the multipleenergy pulse repetition rate above 1 KHz. The proposed approach utilizes an innovative, proprietary design and manufacturing technique developed at RadiaBeam, which substantially improves the cooling efficiency of accelerating structures. In Phase I, a 1 kHz, dual-energy linac system will be designed and prototype cells of the linac will be fabricated and tested. The successful demonstration of the linac design and manufacturing process will lead to full system fabrication and testing in Phase II. Ultimately, this development will allow multiple-energy scans of containers moving at full speed and increased throughput of other scanning stations, and thus significantly contribute to the domestic and international nuclear non-proliferation capabilities.

09.1-2
Innovative Training Technology for Preventive Rad/Nuc Detection

HSHQDC-09-C-00106 HSHQDC-09-R-00041-0911034-I
(HSHQDC-09-R-00041 Phase I)
Realistic and Adaptive Interactive Learning System (RAILS)

Spectral Labs Incorporated
10905 Technology Place
San Diego, CA 92127-1811

10/01/2009
to
03/31/2010
$149,971.00

The Next Generation computer based PRND Training Application sought by DNDO requires seamless coordination of First Responder Training expertise, Video Simulation capability, Radiation Physics principles and PRND Equipment familiarity. Spectral Labs Inc. (SLI) proposes an innovative approach that brings all of these elements together to develop simulation software that provides physically realistic and effective PRND Training to First Responders by first adding Radiation Transport algorithms to an existing Video Game Engine which will be used to generate Training Scenarios based on real locations, and then testing the accuracy of those simulations by comparing the virtual environment with data collected from real world measurements. The engine to be used is a powerful and feature rich design platform that can be applied to generate training scenarios for the PC or other platforms. The Phase I effort will create two Simulated Training Scenarios, each with direction from a First Responders training professional to ensure application of appropriate Training Principles. This input enables SLI to evaluate the ability of these simulations to ingrain in the trainee an innate sense of how to detect, locate and identify orphan or threat radioisotope sources as well as to develop the necessary PRND Equipment operation skills.

10.1-1
Radiation Detection Modules for the Geospatial Location Accountability and Navigation System for Emergency Responsers (GLANSER) system

HSHQDC-10-C-00160 HSHQDC-10-R-00030-1011028-I
(HSHQDC-10-R-00030 Phase I)
Radiation Detection Modules for the Geospatial Location Accountability and Navigation System for Emergency Responders (GLANSER) System

Intelligent Optical Systems, Inc.
2520 W. 237th Street
Torrance, CA 90505-5217

08/30/2010
to
03/01/2011
$149,791.00

This project furthers the goal of enhancing the situational awareness of incident commanders by integrating radiation detectors in GLANSER. As stated in the GLANSER BAA 09-02, `there is an overarching requirement and a need for this capability to have interoperability and seamless integration amongst the other systems in the incident environment. In this manner, incident commanders and tactical decision makers will be able to enhance their overall situational awareness during an incident. In order to further the goal of seamless integration of radiation detectors in an incident environment this project will investigate the data available from current COTS radiation detectors, likely developments in radiation detectors over the near to mid term, and the requirements for transporting radiation data across the GLANSER network. Phase I will result in the definition of network interface node design requirements that will provide the full capability required for GLANSER integration as well as forming the basis for an eventual commercial product to fill this requirement. The team that Intelligent Optical Systems proposes for this investigation has unique recent experience with this subject matter as well as a broad background in the applicable areas of networking protocols, low power electronics, embedded software and radiation detection.

12.1-002
Embedding of Advanced Search Technique for Detect, Locate, and Track for Pedestrian-based Search

HSHQDC-12-C-00108 DNDOSBIR12-02-FP-001-IOS
(HSHQDC-12-R-00052 Phase I)
Embedding of Advanced Search Technique for Detect, Locate, and Track for Pedestrian-based Search

Intelligent Optical Systems, Inc.
2520 W 237th Street
Torrance, CA 90505-5217

09/18/2012
to
03/17/2013
$149,942.65

Adjudication to support law enforcement and first responder adjudication of anomalous gamma ray

12.1-003
Smart Phone App(s) for Radioisotope Identification Device (RIID) and Spectroscopic Personal Radiation Detector (SPRD) Reachback

HSHQDC-12-C-00102 DNDOSBIR12-03-FP-001-CEIN
(HSHQDC-12-R-00052 Phase I)
Smart Phone App for Radiological Threat Adjudication (SPARTA)

Creative Electron
253 Pawnee St
San Marcos, CA 92078-2437

09/21/2012
to
03/20/2013
$150,000.00

Proposed research will develop an innovative Smart Phone App for Radiological Threat Adjudication to support law enforcement and first responder adjudication of anomalous gamma ray spectra collected on handheld or personal RIID and SPRD devices.

12.1-003
Smart Phone App(s) for Radioisotope Identification Device (RIID) and Spectroscopic Personal Radiation Detector (SPRD) Reachback

HSHQDC-12-C-00103 DNDOSBIR12-03-FP-001-SLI
(HSHQDC-12-R-00052 Phase I)
RadMATE - a Mobile RAD/NUC Reachback App

Spectral Labs Incorporated
12265 World Trade Drive
Suite E
San Diego, CA 92128-3771

09/21/2012
to
03/20/2013
$149,272.20

The risk of an adversary mounting a Radiological or Nuclear (RAD/NUC) attack on the United States remains one of the greatest threats to our Nation. The Domestic Nuclear Detection Office (DNDO) has identified an opportunity for exploiting rapidly emerging Smart Phone technology as one of many tools to counter this threat by giving Law Enforcement Officers (LEOs) and Emergency Responders (ERs) support on their local Smart Phones or Tablets to significantly enhance their ability to properly adjudicate encounters with radiation sources. The classification of RAD/NUC threats is challenging because the terrestrial environment includes significant radiation background. This includes Naturally Occurring Radioactive Material (NORM) and many legal medical and industrial sources. Providing officers and responders with up to date support through an in hand Smart Phone or Tablet will optimize their defensive response throughout the Nation. The Smart Phone support will automate and standardize communications with centralized authorities. The benefits will include minimized burden on operators and eliminating the need for a specialized laptop computer with instrumentspecific Reachback software. SLI's proposed development of radMATE will combine all of these elements in a powerful software package to provide a user friendly Smart Phone App that is easily adaptive to individual agency requirements.

H-SB014.1-007
Miniaturization of Support Infrastructure for Non-Intrusive Inspection X-Ray Systems

HSHQDC-14-C-00030 HSHQDC-14-R-00005-H-SB014.1-007-0004-I
(HSHQDC-14-R-00005 Phase I)
Miniaturized High Energy X-ray Source for Mobile Non-Intrusive Inspection Systems

RadiaBeam Technologies, LLC
1717 Stewart Street
Santa Monica, CA 90404-4021

05/01/2014
to
10/31/2014
$149,848.19

Mobile Non-Intrusive Inspection (NII) systems are advantageous as they can be deployed to where the greatest need exists, and they generally have small footprints, which is necessary in many locations. However the currently deployed mobile NII systems do not offer effective material discrimination, which is critical for shielded radiological/nuclear threat identification. This is because the current generation of high-energy interlaced 6/9 MeV X-ray sources needed for good material discrimination are too large and heavy to fit into a compact mobile system. In this project, RadiaBeam will develop an X-ray source that meets the small size and weight required for a mobile scanner yet can provide the imaging performance required to detect shielded threats. We will design a dual-energy, 6/9 MeV linac that, combined with all support infrastructure (electronics, cooling, shielding), will be half the weight and volume of the dual energy linacs on the market today. The X-ray source will find immediate application in the cargo scanning market.

H-SB015.1-008
Mass/Shielding Anomaly Passive Detector Module

HSHQDC-15-C-00006 HSHQDC-15-R-00017-H-SB015.1-008-0004-I
(HSHQDC-15-R-00017 Phase I)
Shielded SNM Detection with Gravity Gradiometry

AOSense, Inc.
767 N. Mary Ave.
Sunnyvale, CA 94085-2909

05/01/2015
to
10/31/2015
$149,912.18

We propose to develop a cold-atom gravity gradiometer for nonintrusive, passive detection of shielded special nuclear material (SNM) inside a human occupied vehicle. Both SNM and SNM shielding consist of high-Z materials that are substantially denser than background. Previous theoretical studies have demonstrated the efficacy of gravity tomography for identification of shielded SNM. The proposed gravity detection approach is completely passive and safe to vehicle occupants. Furthermore, gravity detection of SNM is complementary to existing radiation detection methods. The fidelity of gravity detection improves with thicker SNM shielding. The proposed highly sensitive, stable, and fieldable gravity gradiometer will measure minute gravity field fluctuations to detect shielded SNM rapidly and with high detection fidelity. In Phase I, we will design and test key components of the gravity sensor. We will complete sensor subsystem build and integration in Phase II. Gravity gradiometer laboratory and field testing will follow in Phase III of the proposed project. The gravity gradiometer proposed for shielded SNM detection has numerous commercial applications: airborne gravity survey for mineral and oil prospecting, ground-based surveys to monitor water tables, and gravity-compensated inertial navigation. Compared to existing state-of-the-art gravity gradiometers, cold-atom sensors offer substantially improved stability, sensitivity, and SWaP at reduced complexity and cost.

H-SB016.1-011
Smartphone/Smart device Toolkit for Virtual and Actual Radiation Detection, Identification, and Localization

HSHQDN-16-C-00020 HSHQDC-16-R-00012-H-SB016.1-011-0007-I
(HSHQDC-16-R-00012 Phase I)
Rad/Nuc Smart-device User Interface with Integrated Training Elements (RN-SUITE)

Spectral Labs Incorporated
15920 Bernardo Center Drive
San Diego, CA 92127-1828

08/01/2016
to
01/31/2017
$149,992.80

In this SBIR topic, DNDO has identified the necessity for an optimized PRND UI which can run on a smartphone/device and can either communicate with actual detector hardware or receive simulated input from a software component based on the user's position relative to virtual source(s). This Spectral Labs Incorporated (SLI) proposal, 'RAD/NUC Smart-device User Interface & Training Environment' (RN-SUITE), is a comprehensive research program to make the essential paradigm shift. The proposed effort will develop an optimized User Interface (UI) to control and display readings from RAD/NUC detection, localization, and/or identification equipment in an 'Active Mode' and from Virtual Computer Based Inputs for a 'Training Mode'. The program will also develop an underlying training software system to feed data to the UI based on source beacons and localization techniques in order to provide simulation data to the UI to be used for a 'Training Mode'. Spectral Labs, with a support team of renowned RAD/NUC SMEs and augmented by an experienced human factors expert with years of experience in both human-machine interface and learning theory, will design and code an Optimized UI that can be run on Android and iOS Smart Devices. Spectral Labs will also develop the underlying training system and instructor UI to facilitate integrated training, resulting in a RAD/NUC Smart-device User Interface with Integrated Training Elements (RN-SUITE) that will suit a range of training CONOPS leading to highly effective training without need to transport radioisotope sources.

H-SB016.1-012
Plastic Composite Based Scintillators for Multi-Signature Radiation Detectors

HSHQDN-16-C-00016 HSHQDC-16-R-00012-H-SB016.1-012-0013-I
(HSHQDC-16-R-00012 Phase I)
Plastic-Crystal Composite Scintillator for Multi-Signature Radiation Detection

Adelphi Technology, Inc.
2003 East Bayshore Rd
Redwood City, CA 94063-4121

08/01/2016
to
01/31/2017
$150,000.00

We propose to develop the cost effective plastic-crystal composite scintillator that can enable multi-mode detection of gamma rays, fast neutrons, and thermal neutrons. To enable innovation beyond the current state-of-the-art, the proposed easy-to-fabricate-and-integrate composite scintillator will utilize the miniature crystals of CLYC elpasolite embedded into a plastic scintillator framework. Digital electronics will provide the ability to log time-stamped, list-mode-event data enabling neutron and gamma energy spectroscopy. This detector will provide gamma-and-neutron measurements with the isotope identification using the single sensor thus helping realize full potential of first responder operations.