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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. Human Modeling and Monitoring in 4-Dimension (HMM4D)

    SBC: Infoscitex Corporation            Topic: AF093030

    ABSTRACT: In Phase II, Infoscitex will focus on developing an innovative, robust, and efficient software system, HMM4D, which utilizes a dynamic 3-D human model to detect human threats and to predict human intention. In Phase I, we have achieved major accomplishments and findings on 3-D motion replication, dynamic shape description and analysis, and activity recognition based on shape dynamics. W ...

    SBIR Phase II 2011 Department of DefenseAir Force
  2. Advanced Pressure Sensitive Adhesive for Low Observable Outer Mold Line Repair (1001-604)

    SBC: TRITON SYSTEMS, INC.            Topic: AF093114

    In this Phase II program Triton Systems will develop and optimize a pressure sensitive adhesive (PSA) system to meet the Air Force requirements for adhesion in the 2 8 pli range across a temperature range of -65degreesF to +250degreesF. In addition the PSA will be resistant to a variety of aircraft fluids including JP-8, oils, and de-icing fluids. Production of the PSA will be scaled-up to be p ...

    SBIR Phase II 2011 Department of DefenseAir Force
  3. Video Analysis Using Perceptual Organization and Machine Learning

    SBC: SCIENTIFIC SYSTEMS CO INC            Topic: AF05309

    ABSTRACT: The goal of this project is to develop, demonstrate, and implement at EAFB the EVASE:"Extensible Video Analysis of Symbology Events"Matlab toolkit. This system is based on the premise that it will learn symbology events during training by an expert operator, and then autonomously detect this symbology in long video sequences, resulting in a list of key events to assist the operator in f ...

    SBIR Phase II 2011 Department of DefenseAir Force
  4. Si-N-B-C Aerogels for Thermal Protection System of Reentry Vehicles

    SBC: ASPEN AEROGELS, INC.            Topic: AF04031

    The Air Force has an interest in new designs and new materials for TPS of hypersonic reentry vehicles. Military hypersonic vehicles will reenter the atmosphere according to trajectories that are more aggressive than that of the Space Shuttle Orbiter and expected to be able to maneuver in the atmosphere at speeds around March 20 for more than 4100 seconds. This will result in the extremely high t ...

    SBIR Phase II 2005 Department of DefenseAir Force
  5. Real-Time Process Control Sensor for Measuring Arsenic Concentration in Water

    SBC: GINER INC            Topic: AF04302

    Arsenic in drinking water is a severe health risk to populations throughout the world. In recognition of this risk, the Environmental Protection Agency recently lowered its water standard for arsenic from 50 ppb to 10 ppb. To comply with the new standard, there is an urgent need to develop new, simple, and effective systems to monitor this toxic substance in water. The overall objective of this S ...

    SBIR Phase II 2005 Department of DefenseAir Force
  6. Knowledge-Based Multi-Diciplinary Optimization of Rocket Turbopump Design

    SBC: Concepts NREC, LLC            Topic: AF04199

    The design of turbomachinery components is a complex process requiring many steps and hundreds of minute decisions in an iterative process. The design proceeds from engine cycle performance and meanline design through 3D viscous flow calculations (CFD) and finite element structural analysis (FEA). Design studies may traverse this process many times, with routine tasks performed by engineers in a ...

    SBIR Phase II 2005 Department of DefenseAir Force
  7. Lightweight Optics for High Energy Applications

    SBC: Schafer Corporation            Topic: AF04008

    The Air Force is interested in high stiffness, lightweight technologies for beam control of tactical airborne and relay mirror high-energy laser systems. The corrected system wavefront error can be minimized using low figure error/surface finish, low print-through, high-stiffness, Silicon Lightweight Mirror Systems (SLMS™) technology with high-reflectivity, very low absorption (VLA) coatings. ...

    SBIR Phase II 2005 Department of DefenseAir Force
  8. Automating Software Protection with the Random Obfuscating Compiler Version 2 (ROC2) running on Beowulf Clusters

    SBC: ANGEL SECURE NETWORKS, INC.            Topic: OSD04SP3

    Our Random Obfuscating Compiler2 (“ROC2”) automated toolset will protect DoD HPC executables running on Beowulf clusters from reverse engineering or compromise. Preliminary DoD HPC research is often conducted on university Beowulfs, which are also used by unscreened researchers and students. The US is engaged in an arms race and must protect valuable IP. A ROC2 toolset is feasible now. Phas ...

    SBIR Phase II 2005 Department of DefenseAir Force
  9. Parameter Adaptation for Target Recognition in LADAR (PATROL)

    SBC: CHARLES RIVER ANALYTICS, INC.            Topic: AF04230

    Automatic Target Recognition (ATR) algorithms are extremely sensitive to differences between the operating conditions (OCs) under which they are trained and the OCs in which the fielded algorithms operate. For ATR algorithms to robustly recognize targets while retaining low false alarm rates, they must be able to identify the conditions under which they are operating and tune their parameters on t ...

    SBIR Phase II 2005 Department of DefenseAir Force
  10. Machine Learning for Robust Automatic Target Recognition

    SBC: SCIENTIFIC SYSTEMS CO INC            Topic: AF04230

    The primary issue faced by ATR systems center around the large "variability of the ATR problem space spanned by the targets, sensors, and the environment and the associated challenge is to develop "robust" approaches to improve ATR system performance. The primary innovation of this work is the development of an automated way of developing heuristic inference rules that can draw on multiple models ...

    SBIR Phase II 2005 Department of DefenseAir Force
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