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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. Passive Object Detection System

    SBC: MIRMAR SENSORS, LLC            Topic: A06T016

    Imaging with X-rays and gamma rays is a long established technique. It is possible with recent technological advances that standard transmission radiography may be extended to self-radiography, where the natural radioactivity of the object itself and the surrounding matrix is used as the source of X-rays. Self-radiography is much more complex than traditional radiography, chiefly because it depend ...

    STTR Phase I 2006 Department of DefenseArmy
  2. A lightweight infrastructure for detection and mitigation of insider threats in distributed environments

    SBC: SCIENTIFIC SYSTEMS CO INC            Topic: MDA06T009

    The insider threat remains one of the most difficult to detect -- left alone to mitigate -- threats against information systems. The overall objective of the effort (Phase I and Phase II) is to produce and prototype a Distributed Insider Threat Detection System (DITDS) for distributed environments, capable of identifying and quantifying emerging insider threats against the network, allowing for t ...

    STTR Phase I 2006 Department of DefenseMissile Defense Agency
  3. Aided Navigation: Theory and Applications for Sensors and Architectures

    SBC: SCIENTIFIC SYSTEMS CO INC            Topic: AF06T032

    The coupling of GPS and INS is often characterized as loose, tight, or ultra-tight depending on the nature of the GPS input to the navigation filter. Thus, considering the challenge of precision navigation without GPS, this project will test and validate the coupling of sensor (EO, IR) information such as ego-motion and position updates similar to the coupling of a GPS and INS system. This proje ...

    STTR Phase I 2006 Department of DefenseAir Force
  4. Mechanized Skins for Morphing Aircraft Structures

    SBC: TECHNO-SCIENCES, LLC            Topic: AF06T013

    Techno-Sciences, Inc. (TSi), in collaboration with the Smart Structures Laboratory of the Alfred Gessow Rotorcraft Center at the University of Maryland (UMD), proposes to develop an innovative mechanized skin technology for large-scale area changes in morphing UAVs. The pneumatically driven morphing skin (PDMS) system will exploit superior performance characteristics of McKibben actuators, in con ...

    STTR Phase I 2006 Department of DefenseAir Force
  5. A Variable-fidelity Simulation Tool for Dynamic Non-linear Fluid/Structure Interaction Problems

    SBC: TECHNO-SCIENCES, LLC            Topic: AF06T016

    Techno-Sciences, Inc. (TSi), in collaboration with the Smart Structures Laboratory of the Alfred Gessow Rotorcraft Center at the University of Maryland (UMD), propose to develop a high-fidelity fluid-structure interaction model that is uniquely suited to morphing wing aeroelastic and response prediction. We propose to produce a flapping wing fluid-structure interaction (FWFSI) analysis method to ...

    STTR Phase I 2006 Department of DefenseAir Force
  6. Comprehensive Inspection of Turbine Hot Section Blades and Vanes Using Active Thermography

    SBC: THERMAL WAVE IMAGING INC            Topic: N06T011

    At present, turbine NDE is typically a time consuming collection of inspections that includes manual testing of holes and channels for blockages, multiple flow tests and various inspection technologies such as ultrasound, eddy current and radiography. Thermography has also become a widely method used to perform various inspections. However, many of thermographic inspections require different equ ...

    STTR Phase I 2006 Department of DefenseNavy
  7. Image-based Tracking and Resource Allocation Algorithms for Unmanned Aerial Vehicles

    SBC: TOYON RESEARCH CORPORATION            Topic: AF06T020

    We propose to develop advanced algorithms and software to collaboratively track people and vehicles in an urban environment using video imagery (visible, IR) from a network of unmanned aerial vehicles (UAVs). The tracking and data fusion architecture will have one fusion node in a surveillance region, with a number of UAVs associated with the fusion node. We propose the multiple hypotheses trackin ...

    STTR Phase I 2006 Department of DefenseAir Force
  8. Innovative Titanium Lattice Structures for Off-board Surface Vessels

    SBC: TRANSITION45 TECHNOLOGIES INC            Topic: N06T021

    Lattice Block Structures are innovative, periodic cellular materials whose combination of affordability, low relative density, and substantial strength represents a significant advance in the state-of-the-art of engineered structural materials. Lattice Block Structures in particular have superior kinetic energy absorbing ability that stems from the collapsibility of the internal cells. As a result ...

    STTR Phase I 2006 Department of DefenseNavy
  9. Additive Manufacturing Sensor Fusion Technologies for Process Monitoring and Control.

    SBC: X-Wave Innovations, Inc.            Topic: DLA18A001

    Additive Manufacturing (AM) is a modern and increasingly popular manufacturing process for metallic components, but suffers from well known problems of inconsistent quality of the finished product. Process monitoring and feedback control are therefore crucial research areas with a goal of solving this problem. To address this concern, X-wave Innovations, Inc. (XII) and the University of Dayton Res ...

    STTR Phase I 2018 Department of DefenseDefense Logistics Agency
  10. Hybrid DNN-based Transfer Learning and CNN-based Supervised Learning for Object Recognition in Multi-modal Infrared Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: 1

    On this effort Toyon Research Corp. and The Pennsylvania State University are developing deep learning-based algorithms for object recognition and new class discovery in look-down infrared (IR) imagery. Our approach involves the development of a hybrid classifier that exploits both transfer learning and semi-supervised paradigms in order to maintain good generalization accuracy, especially when li ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
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