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The Award database is continually updated throughout the year. As a result, data for FY21 is not expected to be complete until September, 2022.

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. ActionBuilder: Automated Scenario/Script Builder for Simulation-Based Training Systems

    SBC: INTELLIGENT SYSTEMS TECHNOLOGY, INC.            Topic: HSB062006

    PROJECT SUMMARY To make simulation-based exercise development efficient, it is important that scenarios be developed and executed ¿on-the-fly¿ in an automated fashion with minimal reliance on software personnel. To this end, what is needed is an intelligent scenario/script building capability that enables training personnel to rapidly assemble and ¿test-drive¿ incident scenarios, and that can ...

    SBIR Phase I 2006 Department of Homeland Security
  2. Adaptive camera to display mappings using computer vision

    SBC: POLAR RAIN, INC.            Topic: N/A

    The video surveillance industry is experiencing dramatic change with the move from analog to digital video. Command centers need to have coordinated viewing of multiple camera feeds at one time, and the ability to switch automatically between feeds and display relevant patterns. Conventional security control rooms include a bank of monitors connected through a switch to an array of security camera ...

    STTR Phase I 2006 Department of Homeland Security
  3. Advanced Receiver for Distressed Emitter Localization (ARDEL)

    SBC: TOYON RESEARCH CORPORATION            Topic: HSB0181002

    A majority of U.S. adults own a cell phone and are inclined to use it in emergency situations to call for assistance. Unfortunately, in areas where the density of cell towers is low, such as in rural and off-shore environments, the ability of the wireless network to geolocate the origin of the wireless signal is poor to non-existent. Under the proposed effort, Toyon Research Corporation will devel ...

    SBIR Phase I 2018 Department of Homeland Security
  4. Advanced Unattended Ground Sensor (UGS) Technologies

    SBC: TOYON RESEARCH CORPORATION            Topic: N/A

    In border security applications for remote deployment, with no existing infrastructure or roadways as well as areas with dense foliage, a promising technology is the use of unattended ground sensors (UGS). While there has been a great deal of research and development in the areas of UGS and wireless sensor networks (WSN) over the last decade, traditional use of these technologies suffers from eith ...

    SBIR Phase I 2006 Department of Homeland Security
  5. A 3-D Visualization System for Situational Awareness: Identifying, Locating, and Tracking People/Resources in Urban Area Infrastructures

    SBC: UTOPIACOMPRESSION,CORPORATION            Topic: N/A

    In order to achieve the strategic plan for a more secure Emergency Preparedness and Response system for the Department of Homeland Security (DHS), UtopiaCompression proposes to develop innovative 3-D visualization software system for identifying, localizing and tracking people/resources within buildings in urban area infrastructures. The proposed system will not only automatically collect and proc ...

    SBIR Phase I 2006 Department of Homeland Security
  6. Aerosol Collection into Small Liquid Volumes for Biological Assays

    SBC: Aerosol Dynamics Inc.            Topic: N/A

    Detection systems for aeropathogens require the concentration of airborne particles from large volumes of air into small volumes of liquid. This proposal addresses this need through droplet encapsulation of airborne particles, with subsequent capture into a microliter-sized collection reservoir. Droplet encapsulation is accomplished through our company¿s proven, patented growth tube technology. T ...

    SBIR Phase I 2006 Department of Homeland Security
  7. Algorithms for Look-down Infrared Target Exploitation

    SBC: Signature Research, Inc.            Topic: 1

    Signature Research, Inc. (SGR) and Michigan Technological University (MTU) propose a Phase I STTR effort to develop a learning algorithm which exploits the spatio-spectral characteristics inherent within IR imagery and motion imagery.Our archive of modelled and labeled data sets will allow our team to thoroughly capture the variable elements that will drive machine learning performance.The overall ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  8. Automated and Scalable Analysis of Mobile and IoT Device Firmware

    SBC: RAM LABORATORIES            Topic: HSB0181008

    As Internet of Things (IoT) and mobile devices become increasingly popular and widely used, the security of the firmware running on these devices is paramount.However, due to the lack of an efficient and scalable analysis framework, combined with the increasing pressure to get products to market as quickly as possible, the software running on these devices is never properly checked for security vu ...

    SBIR Phase I 2018 Department of Homeland Security
  9. Automated Assessment of Urban Environment Degradation for Disaster Relief andReconstruction

    SBC: TOYON RESEARCH CORPORATION            Topic: NGA181004

    Toyon Research Corp. proposes development of a system that automates disaster assessment based on fusion of overhead and ground-basedimages, video, and other data. In Phase I, we will investigate various possible data sources and the benefits of fusing the data in automatedanalysis. We will select and curate data for processing in a Phase I feasibility study. Damage assessment will be performed in ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  10. Bayesian Urban Degradation Assessment

    SBC: Intellisense Systems, Inc.            Topic: NGA181004

    To address the NGA need for algorithms that fuse observables from over-flight operations and from ground sources to automatically estimatethe degradation of urban environments due to battle damage or natural disasters, Intellisense Systems, Inc. (ISS) proposes to develop a newBayesian Urban Degradation Assessment (BUDA) software system. It is based on the integration of multiple damage assessment ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
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