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The Award database is continually updated throughout the year. As a result, data for FY19 is not expected to be complete until June, 2020.

  1. PCS-Enabled Unattended Radiation Detection and Attribution System

    SBC: Physical Sciences Inc.            Topic: HSB0171009

    Physical Sciences Inc. (PSI) proposes to develop a PCS-Enabled Unattended Radiation Detection and Attribution System (PURDAS) that will be able to detect, identify, and attribute radiological sources to specific source carriers or conveyances. The PURDAS will include a COTS gamma and neutron detection capability as well as a visible camera, onboard processing, and wireless radios. PURDAS units wil ...

    SBIR Phase II 2018 Department of Homeland SecurityDomestic Nuclear Detection Office SBIR Program
  2. Integrated Multi-mode Handheld RIID

    SBC: Radiation Monitoring Devices, Inc.            Topic: DTRA152007

    The goal of the project is to develop a handheld instrument that detects, identifies, and categorizes radioactive sources based on gamma, thermal-, and fast-neutron signatures. Existing radioisotope identification devices (RIIDs) are typically biased toward gamma spectroscopy; some instruments may use an additional inefficient neutron counter in form of a He-3 tube. The recent development of mat ...

    SBIR Phase II 2018 Department of DefenseDefense Threat Reduction Agency
  3. Hybrid DNN-based Transfer Learning and CNN-based Supervised Learning for Object Recognition in Multi-modal Infrared Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: 1

    On this effort Toyon Research Corp. and The Pennsylvania State University are developing deep learning-based algorithms for object recognition and new class discovery in look-down infrared (IR) imagery. Our approach involves the development of a hybrid classifier that exploits both transfer learning and semi-supervised paradigms in order to maintain good generalization accuracy, especially when li ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  4. Compact Laser Drivers for Photoconductive Semicond

    SBC: SCIENTIFIC APPLICATIONS & RESEARCH ASSOCIATES, INC.            Topic: DTRA16A004

    For effective protection against radiated threats, it is important to understand not only the physics of the threats, but also to quantify the effects they have on mission-critical electrical systems. Radiated vulnerability and susceptibility testing requires delivery of high peak power and peak electric fields to distant targets. The most practical solution to simulate such environments on large ...

    STTR Phase II 2018 Department of DefenseDefense Threat Reduction Agency
  5. Automated Approaches to Analyze and Identify Dual Use Research of Concern from Scientific Publications

    SBC: Intelligent Automation, Inc.            Topic: DTRA172004

    The dual use potential of certain life sciences research has been recognized as an important biosecurity issue for a number of years. Current Dual Use Research of Concern (DURC) assessment procedures are pure manual work done by researchers/reviewers trained in the biosecurity domain. Therefore, an automated approach to analyze and identify DURC rapidly and reliably is urgently needed. To address ...

    SBIR Phase I 2018 Department of DefenseDefense Threat Reduction Agency
  6. Non-Saturating, Real-Time Battlefield Dosimeter

    SBC: Spectral Labs Incorporated            Topic: DTRA172007

    Spectral Labs proposes the development of a radiation dosimeter capable of accurately measuring both prompt and residual gamma and neutron particles without saturating at the dose rates expected from a nuclear event. The proposed dosimeter will be capable of live readout but will typically operate in a low power sleep state for extended battery life, and the dosimeter will utilize a well-tested ci ...

    SBIR Phase I 2018 Department of DefenseDefense Threat Reduction Agency
  7. Isotope Nuclear Forensics from Optical Real-time Measurements (INFORM)

    SBC: Applied Spectra, Inc.            Topic: DTRA172008

    The SBIR Phase I effort will demonstrate the performance of an Atmospheric Pressure Glow Discharge (APGD) excitation/ionization source with Laser Ablation (LA) sampling and Optical Emission Spectroscopy (OES) for rapid field elemental and isotopic analysis of surrogate nuclear debris samples. Laser sampling mitigates the need for sample preparation or consumables. The APGD will be tested as an ato ...

    SBIR Phase I 2018 Department of DefenseDefense Threat Reduction Agency
  8. Field-Expedient Nuclear Isotope Characterization Spectrometer

    SBC: Hedgefog Research Inc.            Topic: DTRA172008

    To address the DTRA's need for a field deployable mass spectrometer for nuclear forensic analysis (NFA), Hedgefog Research Inc. (HFR) proposes to develop a new Field-Expedient Nuclear Isotope Characterization Spectrometer (FENICS), based on species-specific ionization and novel signal enhancement schemes. New system features in FENICS will enable rapid, on-site characterization of nuclear debris s ...

    SBIR Phase I 2018 Department of DefenseDefense Threat Reduction Agency
  9. Low-Shot Detection in Remote Sensing Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: NGA172002

    Toyon Research Corporation proposes to research and develop algorithms for low-shot object detection, adapting popular techniques to address the complexities inherent in ATR for remote sensing. Traditional object detection algorithms rely on large corpora of data which may not be available for more exotic targets (such as foreign military assets), and therefore, traditional Convolutional Neural Ne ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  10. Low-Shot Detection in Remote Sensing Imagery

    SBC: Next Century Corporation            Topic: NGA172002

    Next Century Corporation proposes the development of Muggsy, a low-shot deep learning detection prototype system that learns to recognize uncommon targets in remote imagery. Our Phase I research extends and leverages an image classification system of our own design called EvoDevo. EvoDevo evolves its own neural network architecture before training to meet the complexity of the data. Muggsy uses le ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency

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