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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. Fragment Size Analysis and Tracking System

    SBC: McQ Inc.            Topic: MDA12007

    McQ has developed the Fragment Size Analysis and Tracking (FSAT) system which replaces the ring of switch screens used to record fragment impact time in ground based arena and sled testing with a network of sensors containing high speed cameras. FSAT will record and analyze video of warhead fragmentation then automatically produce a report describing the mass, size, speed, and trajectory of each ...

    SBIR Phase II 2014 Department of DefenseMissile Defense Agency
  2. Multi-Phenomenology Discrimination for Feature Aided Data Fusion

    SBC: DECISIVE ANALYTICS CORPORATION            Topic: MDA12005

    In this Phase II effort we will produce a multi-sensor discrimination system using a Manifold Learning (MFL) algorithm originally developed under a prior effort.Whereas other discrimination systems utilize features defined by subject matter experts (SMEs), our MFL algorithm learns important characteristics of a target through training with historical data.In prior work, we have applied our MFL alg ...

    SBIR Phase II 2014 Department of DefenseMissile Defense Agency
  3. Atmospheric Characterization for Directed Energy Applications

    SBC: MZA Associates Corporation            Topic: MDA12017

    MZA extends its partnership with the Air Force Institute of Technology (AFIT) during Phase II to develop an integrated optical measurement and numerical weather prediction (NWP) atmospheric turbulence characterization system and atmospheric decision assistance toolkit application (DATA). We will develop a tracking telescope optical diagnostic system which images passing satellites or star fields a ...

    SBIR Phase II 2014 Department of DefenseMissile Defense Agency
  4. 2-D Hyperspectral Imaging for High Speed Target Engagement and Identification

    SBC: Kestrel Corporation            Topic: MDA12014

    A framing two dimensional (2-D) hyperspectral imager will be developed to operate in the short wavelength infrared and midwavelength infrared (SWIR-MWIR) bands.This instrument will allow spatial information to be gathered from the scene without spectral or spatial scanning.In Phase II, an advanced technology demonstrator will be designed and constructed.This demonstrator will be field tested in or ...

    SBIR Phase II 2014 Department of DefenseMissile Defense Agency
  5. Preventing Program Hijacking via Static and Dynamic Analyses

    SBC: Zephyr Software, LLC            Topic: OSD11IA5

    To hijack the execution of a program, an attacker must overwrite the value of a return address or a function pointer (broadly defined). To prevent program hijacking, our product will provide a layered defense of these two targets, including deterministic and randomization defenses, with the ability in many cases to continue execution after a hijacking attempt is prevented. Our product toolkit incl ...

    SBIR Phase II 2014 Department of DefenseOffice of the Secretary of Defense
  6. Active Software Defense to Reduce Threat Capability Effectiveness

    SBC: Power Fingerprinting, Inc            Topic: OSD11IA6

    In order to better protect critical infrastructure from cyber attacks, perimeter and passive defenses must be complemented with an active defense mechanism which elevates the risks, or costs, a potential attacker will face. The effectiveness of an active defense mechanism, however, is ultimately limited by its ability to detect threats fast, accurately, and reliably. For this Phase II project, we ...

    SBIR Phase II 2014 Department of DefenseOffice of the Secretary of Defense
  7. Event Attribute Recognition and Labeling (EARL)

    SBC: DECISIVE ANALYTICS CORPORATION            Topic: OSD12LD5

    Existing information extraction technology can only partially address the problem of exploiting unreadably-large amounts text. When discussion of events is limited to simple, past-tense, factual descriptions of events, current NLP-based systems can ident

    SBIR Phase II 2014 Department of DefenseOffice of the Secretary of Defense
  8. Decision Support for Anomaly Detection and Recovery for Unmanned System (ADRUS)

    SBC: Knexus Research Corp.            Topic: OSD12AU1

    Deployment of unmanned systems continues to expand across a wide range of missions; for example, logistics and resupply missions, force application and protection, and improving battlespace awareness. Presently these unmanned systems run at the lowest of four possible levels of autonomy, that is, in a teleoperated mode, and each system typically requires multiple operators. To address this proble ...

    SBIR Phase II 2014 Department of DefenseOffice of the Secretary of Defense
  9. Analysis and Improvement of Trivalent Chromium Conversion Coatings for Aluminum Alloys

    SBC: American Research Corporation of Virginia            Topic: N/A

    The trend toward replacement of highly toxic chemicals with less hazardous alternatives has created the demand for replacement of chromate conversion coatings for corrosion protection of aluminum alloys. Aluminum alloys are the predominate structural material used in aircraft because of their high strength-to-weight ratios, affordability and processability. Aluminum is subject to catastrophic fail ...

    SBIR Phase II 1997 Department of DefenseOffice of the Secretary of Defense
  10. Comprehensible Descriptions for Fast Processing of Image Data

    SBC: DATAMAT SYSTEMS RESEARCH, INC.            Topic: N/A

    The proposed effort will apply advanced methods of hybrid learning to problems of detection and identification of sensory events (e.g., boost phase evens). Our approach aims at building a vision system capable of hybrid learning, in which symbolic (rule-based) and subsymbolic (neural network) strategies are integrated to achieve high efficiency and accuracy both in learning human comprehensible se ...

    SBIR Phase II 1997 Department of DefenseMissile Defense Agency
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