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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. N/A

    SBC: BEVILACQUA RESEARCH CORPORATION            Topic: N/A

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    SBIR Phase I 2000 Department of DefenseOffice of the Secretary of Defense
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    SBC: SA Technologies, Inc.            Topic: N/A

    N/A

    SBIR Phase I 2000 Department of DefenseOffice of the Secretary of Defense
  3. N/A

    SBC: SCIENTIFIC RESEARCH CORP.            Topic: N/A

    N/A

    SBIR Phase I 2000 Department of DefenseOffice of the Secretary of Defense
  4. RadioNuclide Threat Tracking System (RNTTS)

    SBC: Deep Analytics LLC            Topic: HSB0181010

    The integration of radiological and nuclear (RN) sensors with commercial video management systems (VMSs) would greatly enhance DHS/CWMD's ability to fulfill its mission. To demonstrate the value of integrating RN sensors with existing VMSs, DA proposes the RadioNuclide Threat Tracking System (RNTTS). RNTTS interfaces with existing RN sensors and uses cutting-edge machine learning (ML) algorithms t ...

    SBIR Phase II 2019 Department of Homeland Security
  5. Ground-Based AutoNmous Robotic Inspection of General Aviation for Radiological Threats

    SBC: NuHorizon Technologies, LLC            Topic: HSB0181009

    The goal of this project is to develop a ground robotic system that performs automated radiological screening of general aviation aircraft. The robotic system will integrate a commercial off-the-shelf mobile platform, a manipulator arm, and radiation detectors with 3D vision sensors and path planning software to produce a highly-automated, robust solution for initial and secondary aircraft screeni ...

    SBIR Phase II 2019 Department of Homeland SecurityCountering Weapons of Mass Destruction
  6. High Acceleration and Hypervelocity Inertial Measurement Unit

    SBC: EngeniusMicro, LLC            Topic: OSD181001

    Gun-launched applications currently expose inertial measurement units (IMUs) to harsh acceleration, shock, and vibration environments. Furthermore, as they become smarter, they present tighter constraints on size, weight, power, and cost (SWaP-C), while still requiring high levels of performance. New accelerometer technology must reduce SWaP-C while operating through high-g acceleration environmen ...

    SBIR Phase I 2019 Department of DefenseOffice of the Secretary of Defense
  7. Electro-optical Seeker

    SBC: Polaris Sensor Technologies, Inc.            Topic: OSD181002

    Mission times for high velocity projectiles (HVP) are very short and detection and discrimination of targets must happen quickly and decisively. One way to achieve this is through the enhanced contrast resulting from polarized sensing, which tends to highlight manmade objects and suppress natural background clutter. Thermal polarimetric sensing in a small package has been demonstrated already but ...

    SBIR Phase I 2019 Department of DefenseOffice of the Secretary of Defense
  8. Electro-optical Seeker Based on HgCdTe Photodetection

    SBC: EPISENSORS, INC            Topic: OSD181002

    The capability to reliably and remotely detect and track tactical surface targets in a high-velocity projectile after launch is a critical need. The discrimination of man-made objects can be assisted by the detector technology, with options including two-color detectors and polarimetric filtering in the thermal infrared bands. The level of complexity in the focal plane array affects its survivabil ...

    SBIR Phase I 2019 Department of DefenseOffice of the Secretary of Defense
  9. Deep Automatic Target Recognition (DATR) Technology/R-DEX Systems, Inc.

    SBC: R-DEX Systems, Inc            Topic: SCO182008

    R-DEX Systems proposes to adapt its commercial discrimination technology used in industrial automation to develop Deep Automatic Target Recognition (DATR) Technology. DATR utilizes revolutionary deep learning processing (deep belief networks or DBNs, restricted Boltzmann machines RBMs, and convolutional neural networks or CNNs) to automatically identify hidden, nonlinear features that are not iden ...

    SBIR Phase I 2019 Department of DefenseOffice of the Secretary of Defense
  10. Critical Program Information (CPI) Identification and Assessment Tool

    SBC: Management Analysis Network, LLC, The            Topic: SCO183002

    Protecting the effectiveness of US advanced weapon systems and the technology they rely on is a national priority. Unfortunately, individuals tasked with this mission are met with disjointed guidance, no training, and competing processes to consider. It is no wonder adversaries continue to exploit these weaknesses in the Department of Defense (DOD); stealing our Critical Program Information (CPI) ...

    SBIR Phase I 2019 Department of DefenseOffice of the Secretary of Defense
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