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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. Deep Agent with Self-learning for Human Events Recognition (DASHER)

    SBC: Boston Fusion Corp.            Topic: AF18BT002

    Automated analysis of human activities and events on the ground from aerial videos is key to extracting critical situational awareness and gathering actionable intelligence. It poses multiple challenges, including dynamic backgrounds that can be confused with foreground, multiple simultaneous activities in the field of view, occurrence of unknown activities, and large data volume and velocity. The ...

    STTR Phase I 2019 Department of DefenseAir Force
  2. Electronically Dimmable Eye Protection Devices (EDEPD)

    SBC: Aegis Technologies Group, LLC, The            Topic: AF18BT003

    Electronically dimmable materials with sufficiently strong visible transmission shift, color neutrality, durability and switching speeds have eluded development since the search began nearly half a century ago. We demonstrate the potential for dynamic optical dimming using plasmonic nanostructures with electrodynamic simulations of promising plasmonic metamaterial architectures. In order to achiev ...

    STTR Phase I 2019 Department of DefenseAir Force
  3. Carbon Nanotube FET Modeling and RF circuits

    SBC: Metis Design Corporation            Topic: AF18BT006

    The computing demands of future data-intensive applications far exceed the capabilities of today’s electronics and cannot be met by isolated improvements in transistor technologies or integrated circuit (IC) architectures alone. Carbon Nanotube Field-Effect Transistors (CNFET) technology has emerged as leading candidate for energy-efficient and high-performance digital systems. Unfortunatel ...

    STTR Phase I 2019 Department of DefenseAir Force
  4. Airborne Video Inspection for Automatic Targeting with Ontology Reasoning (AVIATOR)

    SBC: Charles River Analytics, Inc.            Topic: AF18BT007

    Improved cameras and unmanned air vehicles (UAVs) have led to an explosion in the amount of airborne imagery and video collected by Air Force assets, but there are not enough trained personnel to analyze this imagery in real time. Thus, targets of opportunity and threats go undetected until the chance to act on them has passed. Automatic target detection could alleviate the burden on analysts and ...

    STTR Phase I 2019 Department of DefenseAir Force
  5. Small UAS compatible Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensors

    SBC: Nevada Nanotech Systems Inc.            Topic: AF18BT009

    Proposed herein are novel design methodologies to create sensors for chemical, biological, radiological, nuclear and/or explosive (CBRNE) detection aboard a Small Unmanned Aerial System (SUAS), as well as intelligent Bayesian-based plume analysis and source detection algorithms that offer capabilities for the Air Force above and beyond the state of the art. The assembled technical team of experts ...

    STTR Phase I 2019 Department of DefenseAir Force
  6. Multiphysics Modeling of Dynamic Combustion Processes Using Pareto-Efficient Combustion Framework

    SBC: STREAMLINE NUMERICS, INC.            Topic: AF18BT010

    The objective is to develop zonal multi-physics capability for turbulent combustion simulations. The foundation of the proposed work is a novel Pareto-Efficient Combustion (PEC) framework for fidelity-adaptive combustion modeling. The PEC model utilizes a combustion submodel assignment, combining the low-cost flamelet-based models with the more expensive finite rate chemistry models where necessar ...

    STTR Phase I 2019 Department of DefenseAir Force
  7. Ultra-fast Multiframe X-ray Imaging System for Explosive Events

    SBC: Radiation Monitoring Devices, Inc.            Topic: AF18BT014

    Measuring the response of explosives to a variety of thermal and mechanical inputs is important to understand and ultimately predict the reaction violence of an explosive in an accident scenario. Technically, there are many challenges to overcome in observing explosives response. For instance, secondary high explosives are heterogeneous and optically opaque and often need to be confined in metal c ...

    STTR Phase I 2019 Department of DefenseAir Force
  8. X-ray Cinematography for Explosive Events

    SBC: DIVERSIFIED TECHNOLOGIES, INC.            Topic: AF18BT014

    Diversified Technologies, Inc. (DTI) proposes to develop a Multiple Pulse flash X-ray source which can be used to make high resolution X-ray movies of explosive and ballistic tests. The new source will allow researchers to capitalize on recent advances in very high speed cameras which allow high resolution images with many frames. DTI will extend our world-class pulsed power capabilities to this c ...

    STTR Phase I 2019 Department of DefenseAir Force
  9. CIM-MIAS (Cyber Information Management and Mission Impact Analysis System)

    SBC: Modus Operandi, Inc.            Topic: AF18CT002

    The DoD lacks an multi-level security (MLS) cyber information management (CIM) system capable of collecting, sharing and disseminating cyber information containing threats, system vulnerabilities and mission impacts and risks for systems operating at multiple security levels. A system that can securely collect and persist this information from various systems operating at various security levels i ...

    STTR Phase I 2019 Department of DefenseAir Force
  10. SHADE (Shared Awareness in Denied Environments): A Decision Support Tool for Mixed-Initiative Teams

    SBC: Scientific Systems Company Inc.            Topic: AF19AT001

    SSCI and ASU (Prof. Nancy Cooke) propose to develop SHADE (Shared Awareness in Denied Environments) - a comprehensive decision support tool which will facilitate smooth mission execution under information degradation and losses in mixed initiative teams (MIT) involving collaborating autonomous vehicles. In Phase I we propose to perform initial development, integration and testing of the SHADE tech ...

    STTR Phase I 2019 Department of DefenseAir Force
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