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The Award database is continually updated throughout the year. As a result, data for FY24 is not expected to be complete until March, 2025.

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.

The SBIR.gov award data files now contain the required fields to calculate award timeliness for individual awards or for an agency or branch. Additional information on calculating award timeliness is available on the Data Resource Page.

  1. GEOGENX: target disambiguation through spatiotemporal context

    SBC: VISION SYSTEMS INC            Topic: NGA201004

    Satellite platforms play a critical role in the modern defense and intelligence infrastructure, providing timely, detailed, and readily available imagery to support U.S. national security. An ever present and fundamental requirement for this type of data is automated target detection and recognition, helping to quickly locate and correctly identify targets from vast quantities of image data. Despi ...

    SBIR Phase II 2023 Department of DefenseNational Geospatial-Intelligence Agency
  2. SkyShot: target detection through spatiotemporal context

    SBC: VISION SYSTEMS INC            Topic: NGA201004

    Satellite platforms play a critical role in the modern defense and intelligence infrastructure, providing timely, detailed, and readily available imagery to support U.S. national security. A fundamental requirement for this type of data is automated target detection and recognition, helping analysts to quickly locate and correctly identify targets of interest from vast quantities of image data. De ...

    SBIR Phase II 2022 Department of DefenseNational Geospatial-Intelligence Agency
  3. 3D Woven Composite Mortar Baseplate

    SBC: T.E.A.M., INC.            Topic: A214006

    Redacted

    SBIR Phase I 2021 Department of DefenseArmy
  4. SKYSHOT: low-shot object detection through spatiotemporal context

    SBC: VISION SYSTEMS INC            Topic: NGA201004

    Satellite and airborne platforms provide timely, detailed, and readily available still and full-motion imagery to support U.S. national security. A constant requirement for this type of data is automated object detection and recognition, helping analysts to quickly locate and correctly identify targets of interest from vast quantities of image data. This requirement is made more challenging when a ...

    SBIR Phase I 2021 Department of DefenseNational Geospatial-Intelligence Agency
  5. GEOGENX: Generic parts-based object detection from satellite imagery

    SBC: VISION SYSTEMS INC            Topic: SB162009

    Expanding constellations of earth observation satellites are drastically increasing the availability of satellite imagery to the US government, providing timely, detailed, and readily available intelligence for mission planning and situational awareness on a global scale. Under the DARPA funded SBIR Phase 2 GEOMETRIX program, VSI developed an innovative ecosystem to distill and reconcile commercia ...

    SBIR Phase II 2020 Department of DefenseNational Geospatial-Intelligence Agency
  6. Every Camera a Biometric Checkpoint

    SBC: ATHENA SCIENCES CORP            Topic: A20073

    The Every Camera a Biometric Checkpoint (ECBC) moves biometric-based identity dominance further to the edge for near real-time detection of threatening individuals, preventing infiltration by non-authorized personnel, and authenticating authorized personnel. The primary objective of the desired capability is to rapidly determine or verify a person’s identity from live video surveillance by autom ...

    SBIR Phase I 2020 Department of DefenseArmy
  7. Pose-Invariant Probabilistic Face Recognition

    SBC: VISION SYSTEMS INC            Topic: A20074

    Modern deep learning-based face recognition systems perform at or above human levels on high quality frontal imagery, but their performance suffers significantly on more operationally relevant imagery with confounding factors such as extreme pose.  This performance degradation is based on two primary shortcomings: poor match between training and test-time image data, and failure to model inherent ...

    SBIR Phase I 2020 Department of DefenseArmy
  8. Machine Learning Model Optimized for Profile Face Matching

    SBC: TYGART TECHNOLOGY INC            Topic: A20074

    The U.S. Army has identified a need to identify an unknown subject in those circumstances and environments in which it is only possible to collect a profile face image (i.e., images extracted from Captured Enemy Material (CEM) and from publicly available information sources).  The ability to identify individuals in currently fielded systems based on a profile face image would be greatly enhanced ...

    SBIR Phase I 2020 Department of DefenseArmy
  9. ML-Enabled Internet-of-Things Edge Device for Vehicle and Weapon Detection from Live Video Surveillance

    SBC: TYGART TECHNOLOGY INC            Topic: A20076

    The U.S. Army has identified a need to enhance force protection and intelligence operations by automating the detection and classification of vehicles and weapons from live video sources and correlating these objects with specific individuals.  To address these needs, Tygart Technology, Inc. will develop, enhance and commercialize an Internet-of-things (IoT) edge-device capable of monitoring live ...

    SBIR Phase I 2020 Department of DefenseArmy
  10. Optimized Metal Matrix Composite Feedstock for Additive Manufacturing

    SBC: TOUCHSTONE RESEARCH LABORATORY, LTD.            Topic: A20012

    With increasing demands for higher performance and lower weight for equipment and vehicles, the United States Army is seeking ways to incorporate composites into various structures ranging from gun barrels to air frames. Composites, unlike traditional metals or ceramics, provide high strengths with minimal weight penalties. For this effort, the Army is primarily looking for development of a metal ...

    SBIR Phase I 2020 Department of DefenseArmy
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