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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. Advanced Hit Detection Systems

    SBC: FREENT TECHNOLOGIES, INC.            Topic: MDA13015

    FreEnt Technologies, Inc. (FreEnt) and Johns Hopkins Universitys Applied Physics Laboratory (APL) are proposing a multiple-hit detection sensor called the Optical Lethality Measurement System (OLMS). This system is based on the Planar Optical Penetration Sensor (POPS) technology (originally developed and patented by APL) and prior art associated with the Blast Initiation Detector (BID). The BID is ...

    STTR Phase II 2017 Department of DefenseMissile Defense Agency
  2. 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
  3. Compact Laser Drivers for Photoconductive Semicond

    SBC: Scientific Applications & Research Associates, Inc.            Topic: DTRA16A004

    For effective protection against radiated threats, it is important to understand not only the physics of the threats, but also to quantify the effects they have on mission-critical electrical systems. Radiated vulnerability and susceptibility testing requires delivery of high peak power and peak electric fields to distant targets. The most practical solution to simulate such environments on large ...

    STTR Phase II 2018 Department of DefenseDefense Threat Reduction Agency
  4. Deep Learning with Whole-Scene Contextual Reasoning for Target Characterization

    SBC: ExoAnalytic Solutions, Inc.            Topic: MDA15T001

    ExoAnalytic Solutions is developing DEEPR (Deep Learning with Whole-Scene Contextual Reasoning for Object Characterization), an advanced multi-sensor multi-object classifier for integrated object characterization. The overall objective of DEEPR is to develop a suite of advanced, novel techniques that combine innovative advances in deep, hierarchical machine learning together with recurrent Deep L ...

    STTR Phase II 2017 Department of DefenseMissile Defense Agency
  5. Dim Target Extraction and Conjoint Tracking (DTECT) Enhancements for Missile Defense Applications

    SBC: TOYON RESEARCH CORPORATION            Topic: MDA12T004

    Overhead Persistent Infrared (OPIR) platforms observe challenging threat and scene phenomenology. Toyon Research Corporation developed an image processing framework for clutter estimation/suppression and track-before-detect to jointly detect and track targets. The Target Extraction and Conjoint Tracking application, developed under initial Phase II funding and demonstrated using real-world data so ...

    STTR Phase II 2017 Department of DefenseMissile Defense Agency
  6. Fine Powder Cathode and Separator Binder Characterization for Thermal Batteries

    SBC: CFD Research Corporation            Topic: MDA16T001

    Fine powder thermal battery cathode materials can exhibit challenging flow properties which makes processing with automated presses difficult.Granulating these powders substantially improves flow properties and reduces the tendency for powder segregation during handling and pressing operations.The properties of Magnesium Oxide (MgO) that lead to good performance in thermal battery separators are n ...

    STTR Phase I 2017 Department of DefenseMissile Defense Agency
  7. Fine Powder Cathode and Separator Binder Characterization for Thermal Batteries

    SBC: CFD Research Corporation            Topic: MDA16T001

    Fine powder thermal battery cathode materials can exhibit challenging flow properties which makes processing with automated presses difficult.Granulating these powders can substantially improve flow properties and reduce the tendency for powder segregation during handling and pressing operations.Additionally, the properties of MgO that lead to good performance in thermal battery separators are not ...

    STTR Phase II 2018 Department of DefenseMissile Defense Agency
  8. Hierarchical, Layout-Aware, Radiation Effects Tools Vertically Integrated into an EDA Design Flow for Rad-Hard by Design

    SBC: Reliable MicroSystems, LLC            Topic: DTRA16A003

    The goal of this workis to establish a radiation-aware capability in a commercial EDA design flow that will enable first-pass success in radiation resiliency for DoD ASIC designs in much the same way that existing EDA design suites ensure first pass functionality and performance success of complex ASICs destined for commercial applications.Such an integrated capability does not presently exist.The ...

    STTR Phase II 2018 Department of DefenseDefense Threat Reduction Agency
  9. High-Speed Simultaneous Multiple Object Detection System

    SBC: FREENT TECHNOLOGIES, INC.            Topic: MDA16T006

    FreEnt Technologies, Inc., along with A2Z Innovations, Inc. (A2Z) and the University of Alabama in Huntsville (UAH) are teaming together to design and develop a High-Speed Simultaneous Multiple Object Detection (HS-SMOD). The HS-SMOD system uses a simple but innovative technique of a passive fiber-optic grid and opto-electronic detectors to measure the initial and subsequent hit points of extremel ...

    STTR Phase I 2017 Department of DefenseMissile Defense Agency
  10. High-Speed Simultaneous Multiple Object Detection System

    SBC: FREENT TECHNOLOGIES, INC.            Topic: MDA16T006

    FreEnt Technologies, Inc., A2Z Innovations, Inc., and the University of Alabama Aerospace Research Center (UAH/ARC) have teamed together to design, develop, and perform ground-based-demonstrations of a High-Speed Simultaneous Multiple Object Detection (HS-SMOD) System for MDA. The HSSMOD system uses a simple but innovative technique of a passive fiber-optic grid and high-speed COTS opto-electronic ...

    STTR Phase II 2018 Department of DefenseMissile Defense Agency
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