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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. Dim Target Extraction and Conjoint Tracking (DTECT) Enhancements for Missile Defense Applications

    SBC: TOYON RESEARCH CORPORATION            Topic: MDA12T004

    Overhead Persistent Infrared (OPIR) platforms observe challenging threat and scene phenomenology. Toyon Research Corporation developed an image processing framework for clutter estimation/suppression and track-before-detect to jointly detect and track targets. The Target Extraction and Conjoint Tracking application, developed under initial Phase II funding and demonstrated using real-world data so ...

    STTR Phase II 2017 Department of DefenseMissile Defense Agency
  2. Programmable Multi-Frequency Transmitter

    SBC: Space Micro Inc.            Topic: MDA16T005

    Space Micro and partner institution Arizona State University propose to design and prototype a Programmable Multi-Frequency Transmitter (PMFT) that is compliant with both the Kill Vehicle Modular Open Architecture (KVMOA) and Space Telecommunications Radio System (STRS) standards. The KVMOA maximizes reuse of components and system designs and reduce total ownership costs. The STRS standard allows ...

    STTR Phase I 2017 Department of DefenseMissile Defense Agency
  3. Methodologies for Cost-Effective Measurement of Dynamic Material Properties or Characterization of Materials under Dynamic Loads

    SBC: KARAGOZIAN & CASE, INC.            Topic: MDA16T003

    Karagozian & Case, Inc. (K&C) and the Georgia Institute of Technology (Georgia Tech) will develop a re-usable, cost-effective, and accurate dynamic characterization methodology capable of measuring the dynamic material properties of various materials of interest under very high strain rates. Materials property data for various ductile materials (e.g., steel and aluminum) are required as input to f ...

    STTR Phase I 2017 Department of DefenseMissile Defense Agency
  4. Optimizing Human-Automation Team Workload through a Non-Invasive Detection System

    SBC: Stottler Henke Associates, Inc.            Topic: ST16C003

    We propose to investigate, in collaboration with the Massachusetts General Hospital Voice Center and Altec, Inc., the application of surface electromyography (sEMG) to assessing cognitive workload, strain, and overload. Specifically, sEMG sensors placed on the face and neck will detect emotional/motor responses to workload strain. The proposed effort will build on the substantial sEMG experience o ...

    STTR Phase I 2017 Department of DefenseDefense Advanced Research Projects Agency
  5. Reliable Manufacturing of Scandia-doped Tungsten Powders for Thermionic Cathodes

    SBC: NGIMAT, LLC            Topic: N15AT010

    In this Phase II STTR effort, nGimat will partner with the University of Kentucky (UK) and 3M/Ceradyne to continue development of W-scandate cathode composite materials. Compared to conventional M-type cathodes, these composite scandate nanomaterials will enable longer cathode lifetime by lowering the required operating temperature. nGimat is an established and successful powder manufacturing comp ...

    STTR Phase II 2017 Department of DefenseNavy
  6. Optimizing Human-Automation Team Workload through a Non-Invasive Detection System

    SBC: Cognionics, Inc.            Topic: ST16C003

    This STTR project aims to assess the feasibility of using laryngeal EMG to detect operator workload and strain. Phase I will develop a wearable neckband device positioning an array of laryngeal EMG electrodes plus additional sensors for measuring masseter EMG, heart rate variability, GSR and estimated relative blood pressure. The neckband will be optimized to be both wearable, comfortable and resi ...

    STTR Phase I 2017 Department of DefenseDefense Advanced Research Projects Agency
  7. Nonintrusive Detector of Acute Cognitive Strain (DACS)

    SBC: QUANTUM APPLIED SCIENCE & RESEARCH INC            Topic: ST16C003

    Modern defense systems place high cognitive demands on warfighters, often taxing the limit of human capabilities and causing operators to suffer Acute Cognitive Strain (ACS), wherein performance deteriorates markedly, leading to a loss of situational awareness and control, and decrements in team cooperativity. ACS leads to physiological changes driven by sympathetic system activation, including i ...

    STTR Phase I 2017 Department of DefenseDefense Advanced Research Projects Agency
  8. Multimodal imaging system for burn injury assessment

    SBC: UTOPIACOMPRESSION,CORPORATION            Topic: DHP16C005

    The goal of this STTR effort is to design a portable, multimodal, non-contact imaging system for burn depth diagnosis and tracking of wound healing. UC and Vanderbilt University will build upon our previous efforts demonstrated via porcine model studies to combine results from structural B-mode optical coherence tomography (OCT) images and functional data (pulse speckle imaging- PSI) to classify d ...

    STTR Phase I 2017 Department of DefenseDefense Health Agency
  9. In-Mask Sensors for Physiological Investigation of Respiratory Exhalation- INSPIRE

    SBC: MAKEL ENGINEERING INC            Topic: DHP16C002

    Makel Engineering, Inc. and Sandia National Laboratories propose to demonstrate an advanced multi-modal sensor system suitable for in-situ analysis of exhaled VOCs for pilots, divers and field patients. Our proposed system will combine a micro-gas chromatograph (GC) and miniature ion mobility spectrometer (IMS) for detection of trace amounts of exhaled breath VOCs with miniature solid state sensor ...

    STTR Phase I 2017 Department of DefenseDefense Health Agency
  10. Mask integrated Volatile Organic Compound (VOC) sensor for real-time warfighter physiological status monitoring in extreme and toxic environments

    SBC: BAYSPEC, INC.            Topic: DHP16C002

    BaySpec Inc., in collaboration with Pacific Northwest National Laboratory, proposes to develop an innovative orthogonal sensor systemthat would be able to detect, identify and quantify the inorganic components of breathing mixes, (i.e., nitrogen, oxygen, carbon dioxide, argon, helium, and water vapor), as well as individual detectable VOCs within the exhaled breath in real-time. The Phase I resear ...

    STTR Phase I 2017 Department of DefenseDefense Health Agency
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