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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. 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. Midwave Infared (MWIR) Quantum Cascade Lasers (QCL) Thermal Monitoring

    SBC: Max-IR Labs Incorporated            Topic: AF17AT026

    Max-IR Labs LLC, in collaboration with UT Dallas, successfully demonstrated construction and operation of a prototype Infrared Near-Field Scanning Optical Microscopy (IR-SNOM) instrument for high-spatial-resolution thermal mapping of small heat sources, in particular Quantum Cascade Laser (QCL) facets, during Phase I.Preliminary data demonstrated feasibility of implementation of this instrument an ...

    STTR Phase II 2018 Department of DefenseAir Force
  4. 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
  5. Flexible Sensor Network and Its Embedded Integrated Circuits for Structural Health Monitoring

    SBC: ACELLENT TECHNOLOGIES, INC            Topic: AF16AT03

    Structural Health Monitoring (SHM) can be reliably used to perform on-line health monitoring of any type of structures with minimal human involvement. Current SHM systems can perform the functions required but are heavy, bulky and difficult to integrate with the structure to provide on-board real-time structural integrity assessment. Embedding of currently available sensors and electronics used by ...

    STTR Phase II 2018 Department of DefenseAir Force
  6. Low-Defect GeSn and SiGeSn for Integrated High-Performance SWIR and MWIR Optoelectronics

    SBC: Freedom Photonics LLC            Topic: AF16AT28

    Advanced imaging techniques and, novel intelligence, surveillance and reconnaissance (ISR) methods are of great interest to the U.S. Air Force and other Department of Defense (DoD) agencies, but associated high-costs of III-V and II-VI MWIR and SWIR materials prohibit their practical widespread deployment and integration with other optoelectronic devices. In this program, we intend to investigate ...

    STTR Phase II 2018 Department of DefenseAir Force
  7. Three-Dimensional Density Imaging by Rayleigh Scattering

    SBC: Metrolaser, Inc.            Topic: AF16AT06

    A diagnostic is proposed for obtaining instantaneous three-dimensional volumetric distributions of density in a flow field at velocities ranging from subsonic to supersonic. Multiple Sheet Filtered Rayleigh Scattering (MSFRS) will be developed, which enables a series of two-dimensional images to be rapidly obtained making up a volumetric image while suppressing background scattering from wind tunn ...

    STTR Phase II 2018 Department of DefenseAir Force
  8. Integrated Fiber-Optic Sensor Reliability Modeling and Analysis Tools for Thermal and Power Management Systems for Gas Turbine Engines

    SBC: Intelligent Fiber Optic Systems Corporation            Topic: AF16AT16

    Addressing a key technology gap in deployment of fiber-optic sensor networks, IFOS and multidisciplinary collaborators are developing an integrated fiber-optic component reliability modeling software toolkit. The RelOptics toolkits analytical engine is based upon predictive failure models developed for the first time in aerospace industry via rigorous environmental testing of optical fiber splices ...

    STTR Phase II 2017 Department of DefenseAir Force
  9. Intelligent and Multiplexable Ultra-High Temperature Fiber Optic Pressure Sensors for Robust Distributed Engine Control

    SBC: Intelligent Fiber Optic Systems Corporation            Topic: AF16AT18

    Engines will be getting smaller and hotter for efficiency reasons, requiring novel sensors with extended and enhanced performance. Emerging fiber-optic sensing approaches could provide a unique solution to the widening technology gap between next-gen engine requirements and conventional sensors limited capabilities. The overall objective of this program is to develop techniques to integrate new pr ...

    STTR Phase II 2017 Department of DefenseAir Force
  10. Universal Multivariate Information Measures for Multisensor Inference (UMIMMI)

    SBC: Boston Fusion Corp.            Topic: AF16AT29

    The team of Boston Fusion Corp., University of Illinois at Urbana-Champaign, and Syracuse University proposes Phase II of UMIMMI: Universal Multivariate Information Measures for Multisensor Inference, a research program that studies multivariate information measures and uses these to construct optimal, universal algorithms and to lay a framework for general multivariate reasoning. We can then appl ...

    STTR Phase II 2017 Department of DefenseAir Force
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