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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. Compact device for quantitative measurement of in-vivo gas bubble formation

    SBC: TIAX LLC            Topic: N07T038

    We propose to live animal test and continue the refinement of our in-vivo bubble detection system, which quantitatively measures the evolution of gas bubbles in biological tissue and fluid. Our approach utilizes established commercial technology with advanced imaging techniques to permit visualization of microbubble formation without entering the body. The Phase I developed proof-of-concept will ...

    STTR Phase II 2008 Department of DefenseNavy
  2. Compact Passive Millimeter Wave Sensor for GPS-denied Navigation

    SBC: PHASE SENSITIVE INNOVATIONS INC            Topic: AF15AT26

    Under the proposed effort, PSI will leverage a novel pmmW imaging technology developed under a prior Navy program to realize the low size, weight, and power sensors required for UAV implementation. This technology is based on an optical upconverted distributed aperture technology that can make large effective apertures in low SWaP form factors thereby maximizing achievable resolution. This sensor ...

    STTR Phase II 2017 Department of DefenseAir Force
  3. Composable Hybrid Approach to Recognizing bots and their Influence in Social Media Analysis (CHARISMA)

    SBC: CHARLES RIVER ANALYTICS, INC.            Topic: N15AT020

    Social media is transforming the way people around the world share messages, receive information, and come together to act. Unlike most traditional media, social media’s technical foundation enables messages to spread quickly and widely. This technology can also be used to disguise the true source of messages and produce automated messages that may have influential and manipulative effects on po ...

    STTR Phase II 2017 Department of DefenseNavy
  4. Composites Fabricated from High Strength and High Modulus Carbon Fibers

    SBC: VURONYX TECHNOLOGIES LLC            Topic: AF16AT27

    In Phase 2 project, Vuronyx Technologies in collaboration with Georgia Institute of Technology, will further optimize the composite panels using high strength and high modulus carbon fibers synthesized from polyacrylonitrile (PAN) precursors, and utilize them for aerospace related components.Results in Phase 1 demonstrated the high strength and modulus of the fibers, higher than anything available ...

    STTR Phase II 2017 Department of DefenseAir Force
  5. Composite Transistor Array Vapor Sensor

    SBC: GINER INC            Topic: AF08T015

    The Giner, Inc. Phase I program will examine the response to explosive and toxic gas simulants of sensor arrays using a combination of specifically doped metal oxides (DMO) developed at Giner, Inc. in conjunction with metallophthalocyanine (MPc) thin films developed at the University of California at San Diego (UCSD). Electronic controls developed for the MPc sensors will be evaluated also for th ...

    STTR Phase I 2008 Department of DefenseAir Force
  6. Compressive Spectral Video in the LWIR

    SBC: PHYSICAL SCIENCES INC.            Topic: A13AT015

    Physical Science Inc., in cooperation with Colorado State University, proposes the development of a low-cost, longwave infrared (LWIR) hyperspectral imaging (HSI) sensor employing compressive sensing (CS) based on single-pixel architecture. It will provide wide-area Early Warning for chemical vapor plumes. The application of CS to LWIR HSI will eliminate the high-cost focal plane array required by ...

    STTR Phase II 2017 Department of DefenseArmy
  7. Computational Methods for Dynamic Scene Reconstruction

    SBC: Systems & Technology Research LLC            Topic: N16AT017

    Mobile video sensors have become cheap and easy to integrate into cell-phones, UAVs, body cameras, and security cameras. The possibility of dense networks of video sensors enables a wide range of security-related uses for ONR and other government agencies including seaport monitoring, battlefield situational awareness, and forensic crime-scene analysis. The density and overlap of sensors creates t ...

    STTR Phase II 2017 Department of DefenseNavy
  8. Conductive Transmissive Coating for Enhanced-Absorption Thin Film Solar Cells

    SBC: AGILTRON, INC.            Topic: A15AT016

    Thin-film, lightweight, large-area flexible inorganic solar cells have shown promise to meet the militarys remote power needs on the battlefield. However, thin film solar cells normally have inferior conversion efficiencies due to limited absorption of sunlight by the thin active layer. Various approaches have been investigated to improve conversion efficiencies of thin film solar cells. Among the ...

    STTR Phase II 2017 Department of DefenseArmy
  9. Crowdsourced Acquisition of Models of Learning Transfer Strategies (CRAM-LESS)

    SBC: CHARLES RIVER ANALYTICS, INC.            Topic: N15AT013

    Navy talent management must evolve to keep pace with the demands of new technology, new battlefields, and new enemy tactics in the face of budget reductions. It must fully utilize the existing skills of Navy personnel, and it must optimize the detailing and subsequent training of personnel to reduce costs and maximize job effectiveness. Transfer is key to talent management; optimal talent manageme ...

    STTR Phase II 2017 Department of DefenseNavy
  10. DC-ATR: Distributed Co-operative ATR Using Low Resolution Mobile Sensors

    SBC: IROBOT CORP.            Topic: N07T024

    The iRobot team proposes to develop a deployable pedestrian detection module that will analyze a monocular video stream and identify all instances of visible pedestrians. To address the problem of pedestrian detection, we will employ data-driven approaches that help recognize specific appearance and motion patterns generated by moving humans. We will also develop detection algorithms that can leve ...

    STTR Phase II 2008 Department of DefenseNavy
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