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The Award database is continually updated throughout the year. As a result, data for FY22 is not expected to be complete until September, 2023.

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. Handheld Celestial Navigation System

    SBC: Optical Physics Company            Topic: SOCOM203002

    Optical Physics Company (OPC) has developed and matured an interferometric star tracker technology which can provide the accuracy required for a Handheld Celestial Navigation System (HCNS) to serve as an alternate when primary GPS systems are denied. Innovative research and development is needed to incorporate this technology with other components into a HCNS which can address the eleven (11) desi ...

    SBIR Phase I 2021 Department of DefenseSpecial Operations Command
  2. Eye-readable Solution-based Dye Displacement Probe for Large-area Detection of Opioids

    SBC: INTELLIGENT OPTICAL SYSTEMS INC            Topic: CBD20AT001

    Intelligent Optical Systems, Inc., in collaboration with Bowling Green State University, proposes to develop a field-rugged, eye-readable indicating spray solution that can immediately detect synthetic opioids over a large area of contamination (i.e., military vehicles, individual protective equipment, clandestine labs, etc.). The proposed chemosensor in a spray solution format will detect multipl ...

    STTR Phase I 2021 Department of DefenseOffice for Chemical and Biological Defense
  3. PlumeSight: A machine learning based plume identification and classification method for LIDAR instrument data

    SBC: MICHIGAN AEROSPACE CORP            Topic: CBD202002

    LIDAR is a powerful tool for the measurement and characterization of aerosols in the atmosphere. In battlefield environments, a wide variety of aerosol constituents and plume types are present. Traditional LIDAR analysis methods aim to characterize plumes in well controlled environments with a minimum of atmospheric clutter. To extend the abilities of plume characterization and identification in c ...

    SBIR Phase I 2021 Department of DefenseOffice for Chemical and Biological Defense
  4. Orbital Insight Synthetic Data for Computer Vision in Remote Sensing

    SBC: Orbital Insight, Inc.            Topic: NGA201001

    As the Intelligence Community’s experts in geospatial analytics, the National Geospatial-Intelligence Agency (NGA) has a long-standing interest in conducting research and development in analyzing overhead imagery. With the commercialization of space, the need to analyze greater volumes of imagery much more quickly continues to progress. Fortunately, recent advances in computer vision (CV) have m ...

    SBIR Phase I 2021 Department of DefenseNational Geospatial-Intelligence Agency
  5. Automated Camera Orientation Recovery Software

    SBC: Physical Optics Corporation            Topic: NGA201006

    To address the NGA’s need to fully automate recovery of camera orientation parameters from ground-level imagery, Physical Optics Corporation (POC) proposes to develop new Automated Camera Orientation Recovery Software (ACORS). It is based on a new, multicue combination of algorithms for finding true horizon lines in images. Specifically, the innovation in locating occluded true horizon lines bel ...

    SBIR Phase I 2021 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. 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
  8. Tactical Sensor Open Standards Integration

    SBC: Botts Innovative Research Inc            Topic: SOCOM202001

    Botts Innovative Research, Inc (Botts, Inc.) proposes to conduct a feasibility study to assess the art of the possible as it relates to the use of the open source, open standards based OpenSensorHub (OSH) (www.OpenSensorHub.org) for the integration between the sensors and robots of Hyper Enabled Operators (HEO), their units, and their mission command, to provide battlespace awareness at the tactic ...

    SBIR Phase I 2020 Department of DefenseSpecial Operations Command
  9. Multi-FMV Fusion 3D Capability

    SBC: TOYON RESEARCH CORPORATION            Topic: SOCOM201003

    Toyon Research Corp. proposes a feasibility study including all promising techniques for enabling SOCOM’s desired Multi-FMV Fusion 3D Capability, which is intended to reduce operator cognitive burden and enhance multi-source surveillance data exploitation. Key topics to consider include multi-platform FMV registration and fusion, 3D model reconstruction, fused video rendering, and artificial int ...

    SBIR Phase I 2020 Department of DefenseSpecial Operations Command
  10. Optimized Platforms for Proper Glycosylation and Sialylation of Recombinant Human Butyrylcholinesterase (rBChE)

    SBC: Technology Holding, LLC            Topic: CBD192007

    The threat of organophosphate (OP) chemical warfare agents (CWA) to United States military personnel is a persistent problem due to the relative ease of manufacturing chemical threats compared to nuclear and biological agents. Human butyrylcholinesterase (BChE) has been identified as a probable bio-scavenger of OP CWAs that could be used to protect individuals that could be exposed to OP CWAs. The ...

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