You are here

Award Data

For best search results, use the search terms first and then apply the filters
Reset

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. Real-time Adaptive Classification Environment using Rules (RACER)

    SBC: CHARLES RIVER ANALYTICS, INC.            Topic: N/A

    "Robust Automatic Target Recognition (ATR) algorithms must be able to identify the conditions under which they are operating and tune their parameters to ensure targets are identified while retaining a low false-alarm rate. For example, the image signatureof a distant target is fundamentally different from the signature of a near target, so a single ATR algorithm with a single set of parameters wi ...

    STTR Phase I 2002 Department of DefenseArmy
  2. Real-time Adaptive Classification Environment using Rules (RACER)

    SBC: CHARLES RIVER ANALYTICS, INC.            Topic: N/A

    Automatic Target Recognition (ATR) algorithms must be able to identify the conditions under which they are operating and tune their parameters accordingly to ensure robust accuracy and low false-alarm rate. For example, the signature of a target imagedunder ideal weather conditions (overcast skies) is fundamentally different from the signature of a target imaged when raining. Therefore, a single A ...

    STTR Phase I 2003 Department of DefenseArmy
  3. Meta-Information Visualization to Enhance the Common Operational Picture (MIVEC)

    SBC: CHARLES RIVER ANALYTICS, INC.            Topic: A04T002

    Decision-making in 21st century warfare environments is characterized by large amounts of complex information from a variety of individual and networked sensor systems that must be rapidly processed by the commander. Part of this complexity is due to meta-information, or, characteristics of information such as uncertainty, staleness, etc. that increase the decision-making burden. Knowledge regar ...

    STTR Phase I 2004 Department of DefenseArmy
  4. Stake-Holder Asset-based Planning Environment (SHAPE)

    SBC: COLORADO ENGINEERING INC.            Topic: OSD07T003

    Colorado Engineering, Inc (CEI) is a small woman owned business with a wealth of engineering expertise in the development of software and hardware systems for DOD combat, weapon and sensor systems. The measuring and mapping of community development in order to adjust tactics, as well insert stimuli to direct future change, is a purely systemic problem. Community development and maximization of a ...

    STTR Phase I 2007 Department of DefenseArmy
  5. Portable Fully-Automated Soil Property Measurement Probe

    SBC: CSA Engineering, Inc.            Topic: A07T015

    The CSA-UCDavis team proposes to develop a soil measurement device to allow for rapid and accurate measurement of soil parameters in order to rapidly and accurately characterize the terrain. The device will be man-portable but also allow for mounting to a small robotic vehicle. Parameters that will be measured include but are not limited to cone index, soil friction index, as well as soil shear ...

    STTR Phase I 2007 Department of DefenseArmy
  6. Linking Output Activity to Outcomes/Impacts in Complex Contingency Environments

    SBC: CyberConnect EZ, LLC            Topic: OSD08T003

    One deficiency of existing planning systems is that they may report mission-level progresses, but are incapable of associating them with desired mission-level outcomes/impacts. USG agency planners and other organizations have produced general frameworks for measuring outcomes/impacts such as MPICE, but clearly planning activities and outcome/impact measure activities remain disconnected. We aim to ...

    STTR Phase I 2009 Department of DefenseArmy
  7. Standoff Chemical/Biological Sensor Detection Algorithms

    SBC: DBC Technology Corp.            Topic: N/A

    The Phase I program objectives were successfully completed. In addition, novel ideas were developed that will be of use in the Phase II program and in the field of algorithm development and sensor characterization in the laboratory. Work on new algorithmswas initiated to optimize wavelength selection for vapor and aerosol detection, a detailed design for obtaining sensor detection statistics in th ...

    STTR Phase I 2003 Department of DefenseArmy
  8. Heterodyne Detection for Compact Standoff Chem-Bio Sensors

    SBC: DBC Technology Corp.            Topic: A05T023

    CO2 laser based sensors are poised to enter the next phase of development defined by smaller, lighter systems based on heterodyne detection. This will have significant impact on the Artemis acquisition program, other military deployments, and for homeland defense systems. The program Phase I objectives are to perform supporting analysis and develop designs for the critical heterodyne system compon ...

    STTR Phase I 2005 Department of DefenseArmy
  9. Advanced Point Sensor

    SBC: DBC Technology Corp.            Topic: A08T024

    The enhanced capability point bio and chem sensor is based respectively on the recently discovered phenomenology of biological aerosol differential backscatter in the long wave infrared proven in field trials with a standoff sensor and on differential absorption. The novel point sensor will use compact, wavelength agile transmitters, including quantum cascade lasers and/or miniature CO2 lasers ope ...

    STTR Phase I 2008 Department of DefenseArmy
  10. Automated Microscopic Malaria Diagnosis

    SBC: Diagnostic Vision Corporation            Topic: A08T036

    In this project we will develop a computerized microscope based imaging system for field testing that will allow location and quantization of malarial parasites (trophozoites). The system will automatically scan a blood smear, locating the portions of the smear that are adequate for analysis and then counting the total number of red cells and the number of red cells containing parasites. The sys ...

    STTR Phase I 2008 Department of DefenseArmy
US Flag An Official Website of the United States Government