You are here

Award Data

For best search results, use the search terms first and then apply the filters
Reset

The Award database is continually updated throughout the year. As a result, data for FY21 is not expected to be complete until September, 2022.

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. Blended Reality Solution for Live, Virtual, and Constructive Field Training

    SBC: SA Photonics, Inc.            Topic: AF17AT011

    A Battlefield Airman (BA) has one of the most challenging positions in the military. BA personnel are tasked with the dual roles of being warfighters as well as Combat Controllers, Pararescuemen, Tactical Air Control Party (TACP) members and Special Operations Weather Technicians often while behind enemy lines. These complex duties require high fidelity training. In some cases, such as Pararescuem ...

    STTR Phase II 2018 Department of DefenseAir Force
  2. Target Tracking via Deep Learning

    SBC: Systems & Technology Research LLC            Topic: AF17AT027

    To address the challenge of long-term tracking, through extended occlusions and significant appearance changes, we propose to continue developing DC-CAT, a Deep Convolutional neural network (CNN) based Confuser-Aware high value target (HVT) Tracker.The DC-CAT system combines a state-of-the-art CNN-based adaptive HVT tracker with a CNN-based pre-trained generic target detector, in a deep-feature-ai ...

    STTR Phase II 2018 Department of DefenseAir Force
  3. Infrared Micro-Laser Arrays for Target Image Projection

    SBC: ATTOLLO ENGINEERING, LLC            Topic: AF16AT22

    Current scene projection hardware is challenged to simultaneously meet the requirements for high peak temperature (> 2000K), high resolution (2Kx2K), response time < 4 ms, cryogenic and temporally uniform photon flux. MEMS, Resistor arrays, liquid crystals, and photonic crystals all suffer in one or more areas. MEMS suffer from flicker and low dynamic range. Resistor arrays suffer from low frame r ...

    STTR Phase II 2018 Department of DefenseAir Force
  4. Algorithms for Look-down Infrared Target Exploitation

    SBC: Signature Research, Inc.            Topic: 1

    Signature Research, Inc. (SGR) and Michigan Technological University (MTU) propose a Phase I STTR effort to develop a learning algorithm which exploits the spatio-spectral characteristics inherent within IR imagery and motion imagery.Our archive of modelled and labeled data sets will allow our team to thoroughly capture the variable elements that will drive machine learning performance.The overall ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  5. Self-Calibrating, Conformal Nanomembrane based Pressure Sensors for Embedded Sensing Applications

    SBC: Nanosonic Inc.            Topic: AF18AT002

    This Air Force Phase I STTR program would develop self-calibrating, conformal nanomembrane (NM) based pressure sensors for embedded sensing applications, using SOI (Silicon on Insulator) NM techniques in combination with our pioneering nanocomposite materials.Such low-modulus, conformal nanomembrane sensor skins with integrated self-calibration, interconnect elements and electronic devices that ca ...

    STTR Phase I 2018 Department of DefenseAir Force
  6. Metasurface optics for compact and scalable polarization cameras

    SBC: Metalenz Inc.            Topic: AF18AT005

    Metasurfaces are a fascinating new direction for producing small form factor optical elements that can be directly integrated with a variety of sensors and illumination sources. Metasurfaces have received extensive attention for their potential applications in imaging optics as they enable significantly more compact camera modules with enhanced functionality and because the unit processes to creat ...

    STTR Phase I 2018 Department of DefenseAir Force
  7. Multi-Physics Models for Parachute Deployment and Braking

    SBC: Cmsoft, Inc.            Topic: AF18AT004

    The main objective of this STTR Phase I effort is two-fold. First, to develop a robust approach for coupling the flow solver Kestrel with the multidisciplinary software tool AERO Suite in order to enable the physics-based modeling and simulation of the dynamics of Aerodynamics Decelerator Systems (ADS) such as parachutes from deployment to terminal velocity or terminal descent and touchdown, and t ...

    STTR Phase I 2018 Department of DefenseAir Force
  8. Hybrid DNN-based Transfer Learning and CNN-based Supervised Learning for Object Recognition in Multi-modal Infrared Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: 1

    On this effort Toyon Research Corp. and The Pennsylvania State University are developing deep learning-based algorithms for object recognition and new class discovery in look-down infrared (IR) imagery. Our approach involves the development of a hybrid classifier that exploits both transfer learning and semi-supervised paradigms in order to maintain good generalization accuracy, especially when li ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  9. Fluid-Structure-Material Interaction Simulation Toolset for High-Speed Applications

    SBC: ATA Engineering, Inc.            Topic: AF17AT025

    Not submitted.

    STTR Phase II 2018 Department of DefenseAir Force
  10. Application of Hierarchical Memory Models to Automatic Target Recognition Modeling and Simulation

    SBC: Novateur Research Solutions, LLC            Topic: AF18AT014

    This SBIR Phase I project proposes a visual processing system for automated target recognition. Inspired by biological vision systems and hierarchical memory models, the proposed system is capable of learning hierarchical invariant features from unlabeled data that are independent of object labels. The model exploits these learned features to create hierarchical representations of target memories ...

    STTR Phase I 2018 Department of DefenseAir Force
US Flag An Official Website of the United States Government