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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.

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.

The SBIR.gov award data files now contain the required fields to calculate award timeliness for individual awards or for an agency or branch. Additional information on calculating award timeliness is available on the Data Resource Page.

  1. 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 MGH Voice Center and Altec, Inc., 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 of our partner, MGH (including resea ...

    STTR Phase II 2018 Department of DefenseDefense Advanced Research Projects Agency
  2. Improved High-Frequency Bottom Loss Characterization

    SBC: HEAT, LIGHT, AND SOUND RESEARCH, INC.            Topic: N17AT026

    We propose development of an improved bottom database suitable for use in the frequency range of 1-10 kHz. Measured transmission loss (TL) and reverberation level (RL) will be jointly processed in building the database. The influence of the rough sea surface, rough seafloor, as well as subbottom heterogeneity will be accounted for during database generation. The rough sea surface will be character ...

    STTR Phase II 2018 Department of DefenseNavy
  3. 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
  4. System for Nighttime and Low-Light Face Recognition

    SBC: POLARIS SENSOR TECHNOLOGIES INC            Topic: SOCOM18A001

    The objective of this proposal is to develop instrumentation and algorithms for acquiring facial features for facial recognition in low- and no-light conditions.We will use cross-spectrum matching by exploiting infrared polarimetric imagery which tends to show features that match more closely visible imagery than conventional infrared.In addition to thermal infrared, we will also test subjects in ...

    STTR Phase I 2018 Department of DefenseSpecial Operations Command
  5. Environmental Temperature Sensing Tow Cable

    SBC: MAKAI OCEAN ENGINEERING INC            Topic: N18AT017

    The U.S. Navy currently utilizes a number of towed systems from surface ship and submarines for sensing and communication applications. In a number of these cases, a tow cable extends either down from a surface ship or up from a submarine through the upper part of the water column where seawater temperature can be both highly variable vs. depth and dynamic in time and geographic location. Having a ...

    STTR Phase I 2018 Department of DefenseNavy
  6. Protocol Feature Identification and Removal

    SBC: P & J ROBINSON CORP            Topic: N18AT018

    Protocols used for communication suffer bloat from a variety of sources, such as support for legacy features or rarely used (and unnecessary) functionality. Traditionally, the Navy subscribes to a blanket adoption of a standard protocol "as is". Unnecessary features are active and can be accessed by both internal and external systems creating security vulnerabilities. PJR Corporation's (PJR's) Pha ...

    STTR Phase I 2018 Department of DefenseNavy
  7. Active Imaging through Fog

    SBC: SA PHOTONICS, LLC            Topic: N18AT021

    Active imaging systems are used to for imaging in degraded visual environments like that found in marine fog and other environments with a high level of attenuation and scattering from obscurants like fog, rain, smoke, and dust.These systems are still limited in range and resolution. SA Photonics is taking advantage of multiple image enhancement techniques, like wavelength tunability, pulse contro ...

    STTR Phase I 2018 Department of DefenseNavy
  8. Operational Sand and Particulate Sensor System for Aircraft Gas Turbine Engines

    SBC: HAL Technology, LLC            Topic: N18AT023

    Gas turbine engines with prolonged exposure to sand and dust are susceptible to component and performance degradation and ultimately engine failure. Hal Technology’s proprietary, compact, rugged, flush-mounted, fiber-optic sensor platform measures particulate size, size distributions, and concentration for real-time engine health monitoring. Our proposed sensor will use an innovative hybrid disc ...

    STTR Phase I 2018 Department of DefenseNavy
  9. Cubic Boron Nitride Claddings for Friction Stir Tooling

    SBC: Plasma Processes, LLC            Topic: N18AT026

    Friction stir welding (FSW) is an attractive joining method where high strength low porosity welds can be attained. However, the high temperatures and forces required for welding high strength materials like steel require the use of exotic tools. Cubic boron nitride (cBN)-based tools offer attractive tool wear characteristics in steels, but are very costly. Conversely, refractory metal alloys are ...

    STTR Phase I 2018 Department of DefenseNavy
  10. Internet of Things (IoT) Agent (IoTA) Framework for Evaluating Effectiveness and Efficiency

    SBC: RAM LABORATORIES            Topic: N18AT027

    The Internet of Things (IoT) is increasingly being used to create smart platforms where operators are being removed from the loop. These smart capabilities include collaborative IoT sensors and platforms that are self-aware and provide capabilities of self-prediction, self-configuration, and self-maintenance. To fully take advantage of these advances, however, testbeds and frameworks are needed to ...

    STTR Phase I 2018 Department of DefenseNavy
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