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Award Data

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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 Wireless Hydrogen Sensors Using Orthogonal Frequency Coded Acoustic Wave Devices

    SBC: SENSANNA INC.            Topic: T602

    This proposal describes the development of passive surface acoustic wave (SAW) based hydrogen sensors for NASA application to distributed wireless hydrogen leak detection systems. Orthogonal Frequency Coded (OFC) SAW devices have been demonstrated as passive wireless temperature sensors in NASA Contract NNK04OA28C, and are being further developed under NNK05OB31C. The proposed hydrogen sensors w ...

    STTR Phase I 2006 National Aeronautics and Space Administration
  2. Passive Wireless Cryogenic Liquid Level Sensors Using Orthogonal Frequency Coded Acoustic Wave Devices

    SBC: SENSANNA INC.            Topic: T602

    This proposal describes the development of passive wireless surface acoustic wave (SAW) based liquid level sensors for NASA application to cryogenic liquid level sensing. Orthogonal Frequency Coded (OFC) SAW devices have been demonstrated as passive wireless temperature sensors in NASA Contract NNK04OA28C, and are being further developed under NNK05OB31C. The proposed liquid level sensors will u ...

    STTR Phase I 2006 National Aeronautics and Space Administration
  3. The Cryogenic Impact Resistant Evaluation of Filament Wound Materials for Use in Composite Pressure Vessels

    SBC: HYPERCOMP ENGINEERING INC            Topic: T801

    HyPerComp Engineering Inc. (HEI) and Utah State University (USU) propose to develop technology for lightweight composite materials for use in composite structures suitable for both cryogenic and damage tolerant environments. The proposed effort will incorporate previous work performed by HEI in the cryogenic performance of composite materials as well as previously developed improved impact technol ...

    STTR Phase I 2006 National Aeronautics and Space Administration
  4. Shape Memory Bio-Suit

    SBC: Mide Technology Corporation            Topic: T501

    Spacesuit systems for planetary EVAs must maximize human productivity and provide the astronaut with the capability to perform useful work tasks. Mide plans to work with MIT to develop mechanisms to augment astronaut productivity during advanced EVA missions. We propose to demonstrate the feasibility of using shape memory polymers (SMPs) to provide pressurizing life support in the Bio-Suit, an a ...

    STTR Phase I 2006 National Aeronautics and Space Administration
  5. Online Real-Time Tribology Failure Detection System

    SBC: Migma Systems Inc.            Topic: T202

    The investigation of the coating friction as a function of time is important to monitor the ball bearing heath. Despite the importance of the subject mater, there is a crucial lack of information in the literature about coating life and friction force in ball bearings as coating wear of progressively increases. Here we propose to develop a strategic space vehicle health monitoring system that will ...

    STTR Phase I 2006 National Aeronautics and Space Administration
  6. Botnet Analytics Appliance (BNA)

    SBC: MILCORD LLC            Topic: N/A

    As reported by Internet security threat reports, Bot networks are becoming the focal point for cybercriminals. Milcord and the University of Wisconsin, responds to this challenge with our proposal ¿ a ¿Bayesian Activity Monitor for Botnet Defense¿ (BAM-BD). In this proposal, we will research, design, and develop a botnet detection and mitigation tool that automatically classifies botnet behavio ...

    STTR Phase I 2006 Department of Homeland Security
  7. Rule-Based Analytic Asset Management for Space Exploration Systems (RAMSES)

    SBC: Payload Systems, Inc.            Topic: T902

    Currently, the state-of-the-art in space asset tracking and information management is bar-coding with relational database support. To support NASA's need for reliable and low-cost asset management, Payload Systems Inc. and MIT propose to develop Rule-based Analytic Asset Management for Space Exploration Systems (RAMSES) ? an intelligent space exploration environment in which information is shared ...

    STTR Phase I 2006 National Aeronautics and Space Administration
  8. Human Performance Optimization

    SBC: REJUVENATE BIO INC            Topic: SOCOM17C001

    Special Operations Forces (SOF) are an integral aspect of the US military. SOF operators are among the most elite and highly qualified individuals in the U.S. military. As such, extraordinary physical and mental demands are placed upon them to excel in extreme environments for extended periods of time. This unrelenting cycle of combat deployments and intense pre-deployment training shortens the fu ...

    STTR Phase I 2018 Department of DefenseSpecial Operations Command
  9. System for Nighttime and Low-Light Face Recognition

    SBC: Systems & Technology Research LLC            Topic: SOCOM18A001

    Face recognition performance using deep learning has seen dramatic improvements in recent years. This improvement has been fueled in part by the curation of large labeled training datasets with millions of images of hundreds of thousands of subjects.This results in effective generalization for matching over pose, illumination, expression and age variation, however these datasets have traditionally ...

    STTR Phase I 2018 Department of DefenseSpecial Operations Command
  10. System for Nighttime and Low-Light Face Recognition

    SBC: MUKH Technologies LLC            Topic: SOCOM18A001

    Recognizing faces in low-light and nighttime conditions is a challenging problem due to the noisy and poor quality nature of the images.Thermal imaging is often used to obtain facial biometric in such conditions. Thermal face images, while having a strong signature at nighttime, are not typically maintained in biometric-enabled watch lists and so must be compared with visible-light face images to ...

    STTR Phase I 2018 Department of DefenseSpecial Operations Command
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