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The Award database is continually updated throughout the year. As a result, data for FY22 is not expected to be complete until September, 2023.

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. Human Performance Optimization

    SBC: HVMN Inc.            Topic: SOCOM17C001

    During altitude-induced hypoxia, operator cognitive and physical capacity degrades, compromising individual and team performance. Cognitive degradation is linked to falling brain energy levels, increased reliance on anaerobic energy production and lactate accumulation. Ketones are the evolutionary alternative substrate to glucose for brain metabolic requirements; previous studies demonstrated that ...

    STTR Phase II 2019 Department of DefenseSpecial Operations Command
  2. Information-based Norms on Flow, Operations and Traffic Over Networks (INFOTON)

    SBC: ISEA TEK, LLC            Topic: N18AT027

    The Internet of Things (IoT) connects people, data, and "things" (e.g., software, sensors, platforms), facilitating the translation of information into actions. Although naval platforms’ networks and communication suites have evolved significantly in the past few years to support such required connectivity, one of the greatest technical challenges still facing the military community is the proce ...

    STTR Phase II 2019 Department of DefenseNavy
  3. SmallSat Stirling Cryocooler for BMDS (SSC-X)

    SBC: Wecoso, LLC            Topic: MDA17T003

    West Coast Solutions (WCS) proposes the development of the SSC-X Stirling cryocooler to enable the deployment of infrared (IR) payloads on small satellite platforms. We achieve extreme miniaturization (

    STTR Phase II 2019 Department of DefenseMissile Defense Agency
  4. Integrated learning-based and regularization-based super resolution for extreme MWIR image enhancement

    SBC: Opto-knowledge Systems, Inc.            Topic: N17AT016

    OKSI and Northwestern University propose to develop a single-image super-resolution (SR) methodology for mid-wave infrared (MWIR) imagery that combines learning-based and regularization-based approaches to produce extreme enhancement of low-resolution images. We will also develop a detector-limited imaging system specifically designed to be used with the SR methodology for which even higher levels ...

    STTR Phase II 2019 Department of DefenseNavy
  5. Development of Low-Cost Augmented Reality Head Mounted Display

    SBC: SA Photonics, Inc.            Topic: N09T031

    SA Photonics, in conjunction with our teammates at the University of Arizona, have developed LARS, the low-cost augmented reality system. This system is a see-through HMD used for training and simulation. LARS was designed using an innovative freeform prism combiner which is small, lightweight and has very little obscuration of the outside world. We have partnered with Rockwell Collins Optronics ( ...

    STTR Phase II 2010 Department of DefenseNavy
  6. High Density Capacitors for Compact Transmit and Receive Modules

    SBC: Bioenno Tech, LLC            Topic: N17AT011

    Development of high-energy-density, low-loss capacitors for power conversion/conditioning systems is an enabling technology to achieve the objective of reducing size, weight, and cost of transmit and receive (T/R) modules in modern radar and electronic warfare transmitters. Among capacitor technologies available, multilayer ceramic capacitors (MLCCs) are receiving more attentions. At present, howe ...

    STTR Phase II 2019 Department of DefenseNavy
  7. Low Cost Magnetic Sensor for Mine Neutralizer Identification and Charge Placement

    SBC: QUSPIN INC.            Topic: N17AT013

    Optically pumped magnetometers provide very high performance but they cost tens of thousands of dollars, and they are large and power hungry. Recently we successfully developed and commercialized laser pumped magnetometers with size, weight and power consumption that is an order of magnitude below current state-of-the-art without sacrificing performance. In this project, the focus will be on produ ...

    STTR Phase II 2019 Department of DefenseNavy
  8. Unified sensor for atmospheric turbulence and refractivity characterization

    SBC: MZA ASSOCIATES CORP            Topic: AF17AT008

    MZA partnered with the Michigan Technological University (MTU) proposes development and testing of key components for our unified Atmospheric Refractivity and Turbulence Sensor (ARTS.) Software upgrades will be made to MZA’s DELTA-Sky sensor to enable atmospheric refraction measurements in addition to existing turbulence profiling. The illuminator assembly to implement the ARTS probe laser ...

    STTR Phase II 2019 Department of DefenseAir Force
  9. Unified sensor for atmospheric turbulence and refractivity characterization

    SBC: G. A. Tyler Associates, Inc.            Topic: AF17AT008

    In this effort, tOSC and the University of New Mexico COSMIAC (Configurable Space Microsystems Innovation Applications Center) will combine to generate a Target-in-the-Loop (TIL) system concept that can simultaneously measure the strength of atmospheric turbulence and scintillation, as well as the refractivity occurring at the measurement time. For this system concept, we will leverage existing tO ...

    STTR Phase II 2019 Department of DefenseAir Force
  10. Visible Electro-Optical (EO) System and LIDAR Fusion for Low Cost Perception by Autonomous Ground Vehicles

    SBC: TOYON RESEARCH CORPORATION            Topic: N11AT020

    The Toyon-MST team proposes to perform research and development of a system which fuses multi-spectral EO and 3D data collected with a low-cost LIDAR to enable improved perception for unmanned ground vehicles (UGVs). The scope of the proposed work includes development of algorithms and software, and development, implementation, integration, testing, and delivery of a prototype, to perform EO-LIDAR ...

    STTR Phase II 2013 Department of DefenseNavy
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