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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. Fast Updatable Large-area Holographic Display

    SBC: NEW SPAN OPTO-TECHNOLOGY, INC.            Topic: AF08T001

    Two-dimensional (2D) visualization techniques have limit capacity to achieve understanding of full dimensionality of the battlefield. Rewritable 3D holographic storage is promising for updatable 3D display applications. In Phase I, New Span Opto-Technology has demonstrated novel concepts of both holographic recording technique and recording material system without the use of high voltage. We have ...

    STTR Phase II 2010 Department of DefenseAir Force
  2. DEVELOPMENT OF MICROPLASMA ARRAYS FOR HIGH EFFICIENCY LIGHTING TILES

    SBC: EDEN PARK ILLUMINATION, INC.            Topic: AF08T012

    ABSTRACT: EDEN PARK ILLUMINATION, INC. and the University of Illinois have formed a team to pursue the demonstration and commercialization of large arrays of microcavity plasmas capable of producing white light panels with luminous efficacies above 30 lumens/W. This proposed project will demonstrate the ability of arrays of microplasmas to yield flat lamps of high efficiency, luminance, and col ...

    STTR Phase II 2010 Department of DefenseAir Force
  3. Space-based Passive Night Vision Vibrometer

    SBC: Wavefront            Topic: AF12BT02

    ABSTRACT: Remote sensing of surface vibration is an important modality of measures and signals intelligence (MASINT) with a wide range of military applications including target discrimination, clutter rejection, analysis of engine signatures, and seismic detection of buried threats. Other applications of remote vibrometry include remote acoustic sensing, aerial sonar, structural damage assessmen ...

    STTR Phase I 2013 Department of DefenseAir Force
  4. Low Level Signal Detection for Passive Electro-Optical Space-based Surveillance

    SBC: TOYON RESEARCH CORPORATION            Topic: AF12BT02

    ABSTRACT: Toyon Research Corporation and the University of California, Santa Barbara (UCSB) are proposing development and feasibility demonstration of advanced algorithms for the detection of vibration signatures in scattered light. The algorithms are being developed for applications including space-based electro-optical (EO)/infrared (IR) sensing at high frame rates and extremely low signal-to-n ...

    STTR Phase I 2013 Department of DefenseAir Force
  5. Biomimetic Integrated Optical Sensor Systems

    SBC: Luminit LLC            Topic: AF12BT03

    ABSTRACT: To address the Air Force"s need for a novel advanced imaging sensor concept that samples all of the information in the radiation field, taking inspiration from biological systems, Luminit proposes to develop a new Biomimetic Integrated Optical Sensor (BIOS) system. The system will be based on the unique integration of a wide field-of-view (FOV) miniature staring multi-aperture compound ...

    STTR Phase I 2013 Department of DefenseAir Force
  6. Biologically-inspired Integrated Vision System

    SBC: SPECTRAL IMAGING LABORATORY            Topic: AF12BT03

    ABSTRACT: The U.S. Air Force has a need to develop a new class of advanced, wide field of view (WFOV) imaging sensors that sample the radiation field in multiple modes: spectral, temporal, polarization, and detailed object shape. These multimodal sensors are to be deployed on high altitude drones to enhance their intelligence, surveillance, and reconnaissance (ISR) capabilities. Smaller versio ...

    STTR Phase I 2013 Department of DefenseAir Force
  7. Biologically-inspired integrated vision systems

    SBC: Tanner Research, Inc.            Topic: AF12BT03

    ABSTRACT: Tanner Research, Inc., in collaboration with University of Maryland, will determine feasibility and plan for development of technology based on insect visual sensing and processing, which will integrate three modes related to navigation and guidance: motion detection from imaging sensing; polarization sensing and processing to implement a celestial compass; and ocellar sensing and proce ...

    STTR Phase I 2013 Department of DefenseAir Force
  8. A High Performance and Cost Effective Ultra High Performance Concrete

    SBC: i2C Solutions, LLC            Topic: AF12BT04

    ABSTRACT: Adversarial installations, such as those housing the means for nuclear weapons production, are increasingly being constructed in heavily fortified locations and often using ultra high performance concrete (UHPC) as the construction material. As such, the U.S. Air Force has considerable interest in further developments of ultra high performance concrete (UHPC) to maintain an advantage o ...

    STTR Phase I 2013 Department of DefenseAir Force
  9. Real-time Location of Targets in Cluttered Environments

    SBC: MATHEMATICAL SYSTEMS & SOLUTIONS, INC.            Topic: AF12BT05

    ABSTRACT: We propose development of an efficient physics-based computational capability for real-time radar location of targets in cluttered environments. Our effort will focus, in particular, on air traffic targets in static natural environments that include dynamic effects such as spinning wind turbines. The proposed methodology models radar signal scattering in cluttered environments on t ...

    STTR Phase I 2013 Department of DefenseAir Force
  10. Innovations in Physical Modeling and Statistical Exploitation of Electromagnetic Target Signatures

    SBC: Five Focal LLC            Topic: AF12BT06

    ABSTRACT: Feature extraction and target recognition suffer from a lack of a reliable model for both exploitable target features and the electromagnetic signature they possess. Signature data are often hard to interpret and invert to recover the target robustly. Bayesian learning approaches to statistical pattern recognition are based on the use of training sets of inputs and outputs, a data mode ...

    STTR Phase I 2013 Department of DefenseAir Force
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