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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.

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. ADVANCED FIRE CONTROL AUGMENTATION SYSTEM FOR C-UAS

    SBC: Technology Service Corporation            Topic: SOCOM173005

    TSC proposes to combine several high-TRL systems, each performing a key piece of the C-UAS kill chain, into a combined Fire-Control Augmentation System (FCAS) for a SOCOM 40mm weapon system.

    SBIR Phase I 2018 Department of DefenseSpecial Operations Command
  2. 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
  3. A Gated LFMCW TDMA MIMO SAR based Hidden Chamber Detector

    SBC: INTELLIGENT FUSION TECHNOLOGY, INC.            Topic: SOCOM173004

    This proposal presents a gated LFMCW TDMA MIMO SAR based hidden chamber detector. The proposed system is constructed with (1) a gated linear frequency modulated continuous wave (LFMCW) time division multiple access (TDMA) multiple input multiple output (MIMO) synthetic aperture radar (SAR), (2) an inertial measurement unit (IMU), (3) a data processor, (4) a set of laser indicators, and (5) a monit ...

    SBIR Phase I 2018 Department of DefenseSpecial Operations Command
  4. 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
  5. An Automated Rapid Acquisition Capability

    SBC: SURANY RESEARCH AND DEVELOPMENT LLC            Topic: SOCOM18004

    SYRDEC proposes a Rapid Acquisition Demonstrator Phase I effort which will evaluate the ability to correlate project requirements to project deliverables in an automated fashion, and to ensure that the project deliverable is free from software cyber vulnerabilities to the greatest extend possible.

    SBIR Phase I 2018 Department of DefenseSpecial Operations Command
  6. 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
  7. 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
  8. Automated Processing, Exploitation and Dissemination

    SBC: Parry Labs, LLC            Topic: SOCOM18001

    Parry Labs proposes the research and development of a distributed, scalable, heterogeneous system to perform automated Processing, Exploitation, and Dissemination (PED) of data feeds.The proposed system will run as a distributed cluster that employs Server-less function execution and Containers to enable the reliable, scalable running of applications. The cluster will employ a peer-to-peer overlay ...

    SBIR Phase I 2018 Department of DefenseSpecial Operations Command
  9. 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
  10. Bilayer Nanofibers as Wearable Sensors for Detecting Fentanyl Compounds

    SBC: Vaporsens Inc.            Topic: HSB0181001

    Drug overdose is now the leading cause of death for Americans under 50 years old, with fentanyl claiming more lives than any other drug.Alarmingly, the problem is increasing, with fentanyl overdoses claiming nearly twice as many lives in 2016 compared to 2015.In addition to users, first responders are at risk for coming into contact with fentanyl as they perform their duties.Fentanyl is extremely ...

    SBIR Phase I 2018 Department of Homeland Security
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