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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. 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
  2. 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
  3. 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
  4. 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
  5. Hardened Encryption Routing to Mitigate External Susceptibility

    SBC: Physical Optics Corporation            Topic: DHS201001

    To address the DHS's need for security of multimedia messages from the public to the Next Generation 9-1-1 (NG9-1-1) Public Safety Answering Point (PSAP) Emergency Communications Cybersecurity Center (EC3) within NG9-1-1 Emergency Service Internet Protocol Networks (ESINets), Physical Optics Corporation (POC) proposes to develop a new Hardened Encryption Routing to Mitigate External Susceptibility ...

    SBIR Phase I 2020 Department of Homeland Security
  6. Remote Sensor Data Protection and Anti-Spoofing

    SBC: BlueRISC, Inc.            Topic: DHS201002

    Phase I project will be the investigation and specification of the necessary algorithms and platform for detection and mitigation of spoofing attacksand compromised sensing in sensor networks. The solution addresses the three main areas of sensing security: (a) detection and mitigation with corresponding customization; (b) support for collaborative, distributed detection across Ndes; and (c) hardw ...

    SBIR Phase I 2020 Department of Homeland Security
  7. Blockchain-based Anti-Spoofing and Integrity Protection

    SBC: Intellisense Systems, Inc.            Topic: DHS201002

    To address the DHS need for new remote sensor data protection and anti-spoofing techniques, Intellisense Systems, Inc. proposes to develop a new Blockchain-based Anti-Spoofing and Integrity Protection (BASIP) system. This proposed BASIP is based on redactable blockchain-based data protection and challenge-response-based spoof detection. The BASIP will offer high resilience to sensor spoofing and m ...

    SBIR Phase I 2020 Department of Homeland Security
  8. Soft Targets and Crowded Places Security

    SBC: Karagozian & Case, Inc.            Topic: DHS201004

    To address the Department of Homeland Security (DHS) Cybersecurity and Infrastructure Security Agency (CISA) requirements and strategic intent, Karagozian and Case, Inc. (K&C) proposes to develop a SECURITY MITIGATION ASSESMENT OF RISKS AND THREATS (SMART) software application for SOFT TARGETS AND CROWDED PLACES (ST-CP) which leverages advanced Geographical Information Systems (GIS) mapping softwa ...

    SBIR Phase I 2020 Department of Homeland Security
  9. Handheld ANmaly Recognition Tool (HART)

    SBC: Spectral Labs Incorporated            Topic: DHS201006

    Check point screening is key to mitigating threats in aviation transport as well as in missions protecting critical infrastructure, high-value cultural institutions, and persons, in a variety of missions from civilian security to law enforcement and corrections to military.These missions are made more challenging by the range of threats presents, from metallic weapons to liquid-based explosives.It ...

    SBIR Phase I 2020 Department of Homeland Security
  10. Targeted Surface Interrogation Scanning System

    SBC: Intellisense Systems, Inc.            Topic: DHS201007

    To address the DHS's need for a quick and efficient targeted surface interrogation technique to locate and detect trace residues of interest, including explosives and illicit drugs, on carry-on baggage and items, Intellisense Systems, Inc. proposes to develop a new rapid Targeted Surface Interrogation Scanning (TASIS) system, based on ultraviolet Raman spectroscopy and fast data processing/renderi ...

    SBIR Phase I 2020 Department of Homeland Security
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