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The Award database is continually updated throughout the year. As a result, data for FY24 is not expected to be complete until March, 2025.

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. Development of “Permit Wizard” Software for AssistedPermit Application Completion

    SBC: TOTAL QUALITY SYSTEMS, INC.            Topic: 833

    TECHNICAL ABSTRACT: The objective of this project is to research the technical feasibility of designing a software tool “Permit Wizard” that will automate the process for aquamarine permit application submittal, review, approval/disapproval and issue (including collection of fees). Aquaculture producers are currently faced with slow, complex, and often confusing permitting processes that must ...

    SBIR Phase I 2018 Department of CommerceNational Oceanic and Atmospheric Administration
  2. Low-Shot Detection in Remote Sensing Imagery

    SBC: Next Century Corporation            Topic: NGA172002

    Next Century Corporation proposes the development of Muggsy, a low-shot deep learning detection prototype system that learns to recognize uncommon targets in remote imagery. Our Phase I research extends and leverages an image classification system of our own design called EvoDevo. EvoDevo evolves its own neural network architecture before training to meet the complexity of the data. Muggsy uses le ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  3. GFNet: Gnostic Fields based Low-Shot Learning for Target Detection in Remote Sensing

    SBC: Intelligent Automation, Inc.            Topic: NGA172002

    To detect uncommon targets in remote sensing imagery, it is quite often that very few prior examples are available. This so-called low-shot detection remains a very challenging problem in remote sensing, despite the recent development in state-of-the-art object detection algorithms such as Faster R-CNN and YOLO, and low-shot learning methods such as feature shrinking, model regression and memory a ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  4. DNC-GD: Deep Neural Network Compression for Geospatial Data

    SBC: Intelligent Automation, Inc.            Topic: NGA181009

    Following technology advances in high-performance computation systems and fast growth of data acquisition, a technical breakthroughnamed Deep Learning made remarkable success in many research areas and applications. Nevertheless, the progress of hardwaredevelopment still falls far behind the upscaling of deep neural network (DNN) models at the software level. NGA seeks to apply neuralnetwork minia ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  5. TOFENetTopographic Features Extraction Network

    SBC: Intelligent Automation, Inc.            Topic: NGA181001

    Topographic features found in ground-based natural images contain information that is useful for a variety of applications including locationestimation and navigation. Traditionally these features have been manually labeled by analysts which is costly and time consuming, especiallyconsidering the volume of readily available data. We propose a novel method for extracting topographic features from s ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  6. TopoRobo (Topographical Annotation Robot Software)

    SBC: Next Century Corporation            Topic: NGA181001

    Next Century Corporation proposes to create TopoRobo (topographical annotation robot software) to automatically extract depth-orderedlists of ridge polylines overlaid on an image or video mosaics to feed topography-based geolocation algorithms. TopoRobo will leverage deepneural network machine learning methods optimized for topographical features through EvoDevo, Next Centurys algorithm to grow an ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  7. CloudVS: Next Generation Video Services In Cloud Computing

    SBC: Intelligent Automation, Inc.            Topic: NGA181002

    With the explosive growth of Internet of Things (IoT) and mobile communication technologies, media streaming service and applications basedon video content have gained remarkable popularity and interest from users. When someone is using their device to record a video, then sharethat video with friends through a certain website (e.g. Netflix, YouTube), the process may sound simple from the user sid ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  8. Climate Impact Visualization Tools Using Virtual 3D City for Community Based Planning and Outreach

    SBC: Intelligent Automation, Inc.            Topic: 931RC

    Intelligent Automation, Inc. proposes an innovative visualization tool that transforms online GIS mappers into a climate impact assessment and planning tool that allows planners to visualize the impact of storm surges with sea level rise and coastal erosion using a 3D virtual city. The goal is to assist planners and emergency services to adapt to climate change at three tiers: i) Tier 3 (Long-te ...

    SBIR Phase I 2013 Department of CommerceNational Oceanic and Atmospheric Administration
  9. Dynamic Frequency Passive Millimeter-Wave Radiometer Based on Optical Up-Conversion

    SBC: PHASE SENSITIVE INNOVATIONS INC            Topic: 941D

    In the proposed effort, we will leverage this extensive experience and capabilities to realize a frequency agile mmW radiometer that can cover the range of DC-110 GHz and can be scaled to DC-200 GHz under Phase II. Ours is a photonic system that multiplies and up-coverts a low-frequency reference signal onto an optical carrier (laser) using EO modulation, then uses the modulation sidebands to inj ...

    SBIR Phase I 2013 Department of CommerceNational Oceanic and Atmospheric Administration
  10. Offshore Wind Energy Resource Siting

    SBC: SEALANDAIRE TECHNOLOGIES, INC.            Topic: 911SG

    Over the last decade, it has been noted that offshore wind energy resource development could prove extensively valuable in many areas of our nation’s growth, including continued diversification of our energy supply, more options for cost-competitive electricity in coastal and Great Lakes regions, and economical stimulation through new and lasting infrastructure development. The challenges associ ...

    SBIR Phase I 2013 Department of CommerceNational Oceanic and Atmospheric Administration
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