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The Award database is continually updated throughout the year. As a result, data for FY20 is not expected to be complete until September, 2021.

Download all SBIR.gov award data either with award abstracts (290MB) or without award abstracts (65MB). A data dictionary and additional information is located on the Data Resource Page. Files are refreshed monthly.

  1. Hybrid Machine Learning Approaches for Radiation Signature Identification

    SBC: Radiation Monitoring Devices, Inc.            Topic: NGA192002

    To improve the identification and detection of radio-logical materials, we propose a hybrid supervised learning and unsupervised machine learning approach to reduce the false positive rate, increase the accuracy and throughput, and augment the capabilities of the human operators. At the end of the Phase I, we will have a machine learning algorithm that is trained to recognize a variety of nuclear ...

    SBIR Phase I 2020 Department of DefenseNational Geospatial-Intelligence Agency
  2. Radioactive Anomaly Detection and Identification Algorithm Suite (RADIAS) for Enhanced Radiological Search

    SBC: Physical Sciences Inc.            Topic: NGA192002

    Physical Sciences Inc. (PSI) proposes to develop an advanced machine learning (ML) algorithm to detect threat-based anomalies in gamma-ray spectra in real-time. If a network of distributed R/N sensors is employed, the algorithms will also be capable of tracking such anomalies through the network. The Radiation Anomaly Detector (RAD) will be packaged with PSI’s award winning Poisson Clutter Spli ...

    SBIR Phase I 2020 Department of DefenseNational Geospatial-Intelligence Agency
  3. High Efficiency Semiconductors for Nuclear Detection

    SBC: Radiation Monitoring Devices, Inc.            Topic: NGA192003

    There is a need for low cost, high performance gamma-ray detectors for national and homeland security applications for detection, identification and localization of special nuclear materials. Common detectors used in this application include scintillators coupled to photomultiplier tubes or silicon photodiodes, and semiconductor detectors like cadmium zinc telluride. Semiconductor detector offer ...

    SBIR Phase I 2020 Department of DefenseNational Geospatial-Intelligence Agency
  4. Long-term Patterns of Life from Sporadic Observations

    SBC: Novateur Research Solutions, LLC            Topic: NGA192005

    This SBIR Phase-I project will develop novel approaches for unsupervised life-long learning architecture to extract long-term patterns of life from sporadic observations. The proposed architecture models longterm dependencies, learns associations between features from sensory observations and the contexts in which these features occur, identifies sudden changes in the patterns for anomaly detecti ...

    SBIR Phase I 2020 Department of DefenseNational Geospatial-Intelligence Agency
  5. GLANCE: Graph Learned Anomalies in Changing Environments

    SBC: Expedition Technology, Inc.            Topic: NGA192005

    While Wide Area Motion Imagery (WAMI) activity analysis has considerably advanced for continuous tracking—particular through adoption of improved machine learning (ML) methods, less research has been applied to using similar quality image sequences over sporadic intervals to characterize site activity. While pure still-image remote sensing collection can characterize basic change detection usin ...

    SBIR Phase I 2020 Department of DefenseNational Geospatial-Intelligence Agency
  6. Learning traffic camera locations using vehicle re-identification

    SBC: Arete Associates            Topic: NGA201005

    In its effort to provide necessary intelligence and analysis, the National Geospatial-Intelligence Agency (NGA) utilizes extensive traffic camera systems. However, the large amount of data overwhelms both analysts and existing processing methods. In order to provide a better understanding and reduce the search space for common problems such as target tracking, it is necessary to extract the camera ...

    SBIR Phase I 2020 Department of DefenseNational Geospatial-Intelligence Agency
  7. Vehicle Reidentification-Aided Network Topology Inference (VRANTI)

    SBC: Systems & Technology Research LLC            Topic: NGA201005

    Systems & Technology Research (STR) proposes to develop Vehicle Reidentification-Aided Network Topology Inference (VRANTI), a novel system for estimating proximity network graphs of traffic cameras to facilitate intelligence applications such as tracking and monitoring of traffic systems. Network inference will be performed using statistical analyses of features extracted from camera video feeds, ...

    SBIR Phase I 2020 Department of DefenseNational Geospatial-Intelligence Agency
  8. Bounding generalization risk for Deep Neural Networks

    SBC: Euler Scientific            Topic: NGA20A001

    Deep Neural Networks have become ubiquitous in the modern analysis of voluminous datasets with geometric symmetries. In the field of Particle Physics, experiments such as DUNE require the detection of particle signatures interacting within the detector, with analyses of over a billion 3D event images per channel each year; with typical setups containing over 150,000 different channels.  In an ...

    STTR Phase I 2020 Department of DefenseNational Geospatial-Intelligence Agency
  9. Fieldable decontamination system for sensitive equipment

    SBC: Clear Scientific, LLC            Topic: CBD192002

    The ability for a warfighter to quickly and effectively decontaminate chemical and biological agents on sensitive equipment in the field can significantly improve the readiness and effectiveness of that warfighter. We propose to improve current decontamination technology based on hot air decontamination techniques, already at TRL 4, to enable the rapid and complete removal of threats from sensitiv ...

    SBIR Phase I 2020 Department of DefenseOffice for Chemical and Biological Defense
  10. Non-Invasive Monitoring of Changes in Intracranial Pressure Due to Infections in the Central Nervous System

    SBC: Fenix Research Corporation            Topic: CBD192005

    Infections of the central nervous system (CNS) are associated with brain swelling and increased cerebral blood volume, as well as focal cerebral perfusion deficits, variable levels of cerebral blood flow and cerebral vasculitis. The net result is increased intracranial pressure (ICP) along with significant risk of brain tissue herniation and ischemic syndromes. ICP monitoring is critical in the ma ...

    SBIR Phase I 2020 Department of DefenseOffice for Chemical and Biological Defense
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