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The Award database is continually updated throughout the year. As a result, data for FY20 is not expected to be complete until September, 2021.

  1. Automated, Drone-Based Grade Crossing Inspection

    SBC: VisioStack Inc.            Topic: 190FR6

    AXIS (Aerial Crossing Inspection System) is an innovative highway-rail grade crossing inspection system that uses UAVs, cloud processing and clustered-computing to perform inspections with unprecedented efficiency. AXIS is an end-to-end solution that preplans inspection flight paths, uses photogrammetry to create a 3D model of the crossing, calculates the crossing’s risk profile and generates de ...

    SBIR Phase II 2020 Department of Transportation
  2. Semi-autonomous Capabilities for the Operation of Unmanned Teams (SCOUT)

    SBC: Charles River Analytics, Inc.            Topic: 9401

    Natural disasters and other severe weather events have the potential to create loss of life and damage property on a large scale. Preparing for and responding to these incidents is a complex, multi-phase process. NOAA’s 2019-2022 Strategic Plan is to achieve the vision of a Weather Ready Nation to reduce the impacts of weather, water, and climate events and harness cutting-edge science, technolo ...

    SBIR Phase I 2020 Department of CommerceNational Oceanic and Atmospheric Administration
  3. MWM Array Bending Stress and Crack Detection In-Line Inspection Module

    SBC: Jentek Sensors, Inc.            Topic: 20PH1

    In-line inspection (ILI) is a cornerstone for pipeline integrity. Advances to ILI tools are essential to maintaining pipeline safety. Gaps exist for the detection of circumferential cracking (at and away from welds and dents) and bending stresses. Few technologies exist that can make reputable claims for stress measurement that are non-destructive, reliable, and appropriate for integration onto an ...

    SBIR Phase I 2020 Department of Transportation
  4. Autonomous Video Inspection System (AVIS)

    SBC: VisioStack Inc.            Topic: 20FR2

    AVIS (Autonomous Video Inspection System) is an innovative highway-rail grade crossing inspection system that will use deploy Artificial Intelligence based models with efficiency and accuracy. AVIS is an end-to-end solution that will evaluate forward-facing video to detect the presence and condition of key features that help improve the safety of pedestrians and vehicles at highway-rail crossings. ...

    SBIR Phase I 2020 Department of Transportation
  5. Automated Monitoring of VOCs with a Compact Gas Chromatography-Proton Transfer Reaction Mass Spectrometer (GC-mVocus)

    SBC: Aerodyne Research, Inc.            Topic: 9502

    Volatile organic compounds (VOCs) are emitted from a wide variety of biogenic and anthropogenic sources. VOCs transform in the atmosphere, forming ozone and oxygenated VOCs (OVOCs), which in turn can form fine particulates or condense onto preexisting particulate matter (PM). Both ozone and fine PM are deleterious to human health and alter the Earth’s climate. Measurements of (O)VOCs are necessa ...

    SBIR Phase I 2020 Department of CommerceNational Oceanic and Atmospheric Administration
  6. Automated Fillet Identification

    SBC: CVISION AI INC            Topic: 9205

    We propose to develop a fillet identification methodology using visible imagery that can be collected and processed on commodity hardware such as modern smartphones, dramatically increasing the availability of fillet identification technology. In order to accomplish this, we will gather an annotated data set of fillet pictures, traceable to verifiable whole fish images. Using these pictures, we wi ...

    SBIR Phase I 2020 Department of CommerceNational Oceanic and Atmospheric Administration
  7. Bayesian Assessments and Real-Time Rider Alerting and Cueing for Upcoming Danger Avoidance (BARRACUDA)

    SBC: Charles River Analytics, Inc.            Topic: 151FH3

    Riding a motorcycle can be a risky activity due to hazards that riders encounter. Some hazards, such as uneven terrain, sand/gravel, and potholes, do not pose a risk to automobiles, but can be dangerous for motorcyclists. However, no motorcycle-specific hazard tracking or alerting systems are currently available for riders. To address this need, Charles River Analytics has designed and demonstrate ...

    SBIR Phase II 2020 Department of Transportation
  8. Electro-swing adsorption for high efficiency direct air capture

    SBC: Verdox, Inc.            Topic: G

    There is a clear scientific consensus on the role of anthropogenic greenhouse gas emissions in the unusually wild fluctuations of global climate patterns over the last century. To that end there has been an exponential growth of investments in “clean tech”, and mainly in direct air capture (DAC). Verdox, Inc. aims to introduce a radically novel technology to the field which presents a paradigm ...

    SBIR Phase I 2020 Department of EnergyARPA-E
  9. Electro-swing adsorption for high efficiency direct air capture

    SBC: Verdox, Inc.            Topic: G

    There is a clear scientific consensus on the role of anthropogenic greenhouse gas emissions in the unusually wild fluctuations of global climate patterns over the last century. To that end there has been an exponential growth of investments in “clean tech”, and mainly in direct air capture (DAC). Verdox, Inc. aims to introduce a radically novel technology to the field which presents a paradigm ...

    SBIR Phase II 2020 Department of EnergyARPA-E
  10. Transformation of carbon emissions to high-value products through a two-step electrochemical platform

    SBC: LECTROLYST LLC            Topic: G

    Carbon dioxide utilization can help reduce carbon emissions, but gaps remain in the value chain from initial capture to high-value products. Lectrolyst LLC will develop an electrochemical platform centered on selective two-step conversion of CO2 to acetic acid and ethylene, to fill this need. Preliminary life cycle assessment and techno-economic analyses indicate ~200 million metric tons of CO2 em ...

    SBIR Phase I 2020 Department of EnergyARPA-E
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