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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. 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
  4. 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
  5. Raw Data Generation Tool for X-ray Security Imaging Systems

    SBC: Telesecurity Sciences, Inc.            Topic: HSB0141003

    The X-ray intensity as measured by detectors depends on all aspects of the imaging system ranging from the source spectrum to various scatter events during the photon transport. The proposed simulator models the entire X-ray detection process from photon generation to various scatter events to the eventual detection of transmitted/scattered photons. In particular, the simulator models the two impo ...

    SBIR Phase I 2014 Department of Homeland Security
  6. Bulk Currency Vapor detection in Confined Spaces

    SBC: NEVADA NANOTECH SYSTEMS, INC.            Topic: HSB0132001

    The proposed goal of Nevada Nanotech Systems Inc for the Phase II program is to adapt a commercially available gas chromatograph-mass spectrometer instrument for the problem of detecting U.S. currency via unique vapor signature in confined spaces and then field test three prototype units, operated by government personnel, during a 6-month field test. After this test, we will provide detailed docu ...

    SBIR Phase II 2014 Department of Homeland Security
  7. Automatic Threat Recognition Algorithm for Volumetric CT Data

    SBC: Telesecurity Sciences, Inc.            Topic: HSB0122002

    For Phase II work, we propose to complete the development of the DICOS compliant ATR algorithm whose feasibility has been demonstrated by results of Phase I work. Important project milestones for the first base year of Phase II are as follows: (1) implementation of the DICOS standard including network protocol, (2) improvement of the proposed ATR algorithm in terms of explosive detection performan ...

    SBIR Phase II 2013 Department of Homeland Security
  8. Geo-registration of Aerial Imagery Using 3-D Volumetric Models

    SBC: VISION SYSTEMS INC            Topic: NGA11001

    With the advancement of aerial imaging sensors, high quality data equipped with partial sensor calibration models is available. There is a recent research activity in computer vision community that aims to reconstruct 3-d structure of the observed scenes relying on the content of the imagery in fully automated ways. However the research has not matured into robust systems ready for operational set ...

    SBIR Phase II 2013 Department of DefenseNational Geospatial-Intelligence Agency
  9. Bulk Currency Vapor detection in Confined Spaces

    SBC: NEVADA NANOTECH SYSTEMS, INC.            Topic: HSB0132001

    The proposed goal of Nevada Nanotech Systems Inc for the Phase I program is to select a practical technological solution and develop a Con-Ops for the problem of detecting U.S. currency via unique vapor signature(s) in confined spaces for three related, though unique, application scenarios (bags, vehicles, and shipping containers). Nevada Nano will document a matrix of technical and operational re ...

    SBIR Phase I 2013 Department of Homeland Security
  10. Automatic Threat Recognition Algorithm for Volumetric CT Data

    SBC: Telesecurity Sciences, Inc.            Topic: HSB0122002

    This Phase I proposal describes the development of an Automatic Threat Recognition (ATR) algorithm for volumetric CT data. Our ATR algorithm consists of four stages: (1) preprocessing of CT data, (2) object segmentation of preprocessed CT data, (3) post-processing of segmentation results, and (4) explosive detection from the segmented objects. The ATR algorithm will be made computationally efficie ...

    SBIR Phase I 2012 Department of Homeland Security
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