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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. Simulation-based Transfer-learning for Explosive Alarm Resolution Sensors (STARS)

    SBC: ASSURED INFORMATION SECURITY, INC.            Topic: DHS231004

    Security at transportation checkpoints is a key strategic aspect of the DHS mission of preventing future attacks against the U.S. and its allies. The ability to freely move assets within, into, and out of the nation is paramount to national security. While DHS currently employs highly-effective explosive alarm resolution sensors (AR), these sensors require special training to operate and produce a ...

    SBIR Phase I 2023 Department of Homeland Security
  2. Eliminating Zero-Day Chemical Threats (EZ-DCT)

    SBC: DEEP ANALYTICS LLC            Topic: DHS231007

    In this proposal we describe a technical approach to detect never-before-seen chemicals with existing chemical detection equipment. First, we will generate never-before-seen, synthetically viable, toxic chemicals. To do this we will use open-source software that enables synthetically viable chemicals to be generated as SMILES strings from a seed chemical, e.g., VX, RDX, etc. For each novel chemica ...

    SBIR Phase I 2023 Department of Homeland SecurityCountering Weapons of Mass Destruction
  3. Multi-Task Scale-aware Continuous and Localizable Embeddings

    SBC: KITWARE INC            Topic: OSD22A001

    In Phase I, our team of Kitware and UC-Berkeley developed Scale-MAE by adding ground sample distance (GSD) to positional encodings, and produced a multiscale representation that achieves state-of-the art results across image classification, semantic segmentation, and object detection tasks. In Phase II, we will create a remote sensing pretraining toolkit to enable fast and easy experimentation wit ...

    STTR Phase II 2023 Department of DefenseNational Geospatial-Intelligence Agency
  4. E-HazID- Integrated RFID, Sensing and Communication System for Safe Transportation of HAZMAT

    SBC: NEWPORT SENSORS INC            Topic: 23PH2

    The transportation of hazardous materials (HAZMAT) poses a significant risk to human health and the environment, as evidenced by recent disastrous derailments of freight trains. To enhance the safe transport of HAZMAT, a groundbreaking technology system called E-HazID is proposed. E-HazID integrates RFID with various sensors in a wireless tag that is placed on each HAZMAT package to identify and t ...

    SBIR Phase I 2023 Department of Transportation
  5. Wireless Sensing and Warning System (WS2) for Passenger Train Door Safety

    SBC: NEWPORT SENSORS INC            Topic: 21FR1

    To improve the safety of passenger train exterior side doors, this SBIR project develops a low-cost Wireless Sensing and Warning System (WS2), a mesh network of advanced magnetic door position sensors that provides continuous monitoring and issues real-time warning to the train operator when a door is not properly closed.WS2 aims at retrofitting legacy passenger trains that do not possess a door s ...

    SBIR Phase II 2022 Department of Transportation
  6. Illuminated Virtual Crosswalk and Threat Detection System

    SBC: INTERNATIONAL ELECTRONIC MACHINES CORPORATION            Topic: 21NH1

    The danger posed to bus passengers crossing a roadway, especially in low light or visibility conditions continues to be a significant and non-trivial challenge. The project proposes to develop a system to illuminate a virtual crosswalk onto the roadway to provide for a uniform and predictable safe walking pathway for the crossing passenger along with alerting the passenger when it is either safe o ...

    SBIR Phase II 2022 Department of Transportation
  7. Fully Autonomous Omnidirectional Adaptive Robots for the Disinfection and Decontamination of Transit Assets

    SBC: ADVENT INNOVATIONS LTD CO            Topic: 21FT1

    Public transit is particularly vulnerable to disruption and shocks from pandemics due to the collective nature of its mobility. The COVID-19 pandemic has brought new needs to keep all facilities clean for the safety of people at all times. To prevent the spread of coronavirus through transit facilities, keeping surfaces disinfected is incredibly important. The aim of this project is to contribute ...

    SBIR Phase II 2022 Department of Transportation
  8. Region Reduction

    SBC: CLARIFAI, INC.            Topic: NGA201006

    The NGA program “GLIMPSE” leverages context and topography to geolocate imagery for further analysis. For this proposal, Clarifai intends to develop and deliver a deep-learning pipeline to reduce the geographical search space for an image that will expedite analysis and reduce computational cost. The objective of this proposal is to provide a system to (a) efficiently identify relevant imagery ...

    SBIR Phase II 2022 Department of DefenseNational Geospatial-Intelligence Agency
  9. MONET: Modeling non-Objects and Novelty for Efficient Training

    SBC: KITWARE INC            Topic: OSD221003

    Object detection datasets for overhead imagery are typically generated using bootstrapping methods to reduce annotator effort and cost. These methods iteratively train a detector from a limited set of user-provided and model-predicted labels. Such approaches bias detectors toward the initial object set, limiting their capacity to handle object variations or discover novel objects classes. MONET ov ...

    SBIR Phase I 2022 Department of DefenseNational Geospatial-Intelligence Agency
  10. Multi-Task Scale Aware Continuous and Localizable Embeddings

    SBC: KITWARE INC            Topic: OSD22A001

    NGA uses deep networks for many tasks including image registration, land cover segmentation, and object detection. Current deep learning approaches develop specialist networks for each task and type of data. Not only is this inefficient, because networks can’t be reused across tasks, this approach ignores correlations between tasks and data sources that can improve performance. In response, we w ...

    STTR Phase I 2022 Department of DefenseNational Geospatial-Intelligence Agency
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