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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. Wireless Non-Invasive Advanced Control of Microprocessor Prostheses and Orthoses

    SBC: LIBERATING TECHNOLOGIES INC            Topic: DHP17A005

    There are several current and imminent orthotic and prosthetic (O&P) fitting scenarios that would greatly benefit from the ability to wirelessly collect and transmit physiological information from the user. Both upper- and lower- limb O&P fittings that: 1) use osseointegration, 2) have cable management issues, and 3) could benefit from physiological information from locations proximal to the prost ...

    STTR Phase II 2018 Department of DefenseDefense Health Agency
  2. W-Band RF Instrumentation

    SBC: MAGIQ TECHNOLOGIES, INC.            Topic: A18BT002

    In the program, MagiQ Technologies Inc., in conjunction with professor Gabriel Rebeiz from the University of California, San Diego (UCSD), is proposing a high dynamic range W-band CW/pulse RF power meter for the US Army’s application in the development of W-band radar and satellite communications. Base on unique noise reduction technique in MagiQ technologies, The power meter can operate in a hi ...

    STTR Phase I 2019 Department of DefenseArmy
  3. VANESSA: Virtual Analysis Networks and Explanations for Social Sensing Analysis

    SBC: SMART INFORMATION FLOW TECHNOLOGIES LLC            Topic: A18BT008

    SIFT, JHU medicine and University of Central Florida are proposing to develop VANESSA (Virtual Analysis Networks and Explanations for Social Sensing Analysis) - a social sensing platform providing team diagnostics of interacting teams and recommendations for enhanced team functioning of human and human-cyber teams. The overall goal of VANESSA is to develop an adaptive technology platform with a fo ...

    STTR Phase I 2019 Department of DefenseArmy
  4. UV Beam Conditioner for Quantum Computing

    SBC: PHYSICAL SCIENCES INC.            Topic: A10AT008

    Physical Sciences Inc. (PSI) and Duke University propose to develop a hybrid, multifunctional, ultraviolet (UV) beam conditioner intended for laser beam switching, deflection, and frequency shifting for quantum computing applications. The beam conditioner consists of three functional blocks, separating the technology for frequency control, fast amplitude control, and electronic beam shuttering int ...

    STTR Phase I 2010 Department of DefenseArmy
  5. Universal textile functionalization chemistry for molecular and particulate attachment based on a novel activation treatment

    SBC: Nano Terra, Inc.            Topic: A18BT024

    Nano Terra and the El-Shafei group (North Carolina State University) propose to demonstrate, optimize and expand a universal platform for textile functionalization. The approach is one developed in the El-Shafei group that has already been explored for its utility in cotton, nylon-cotton blends and polypropylene. The functionalization method imparts a high-level of flame retardancy (without haloge ...

    STTR Phase I 2019 Department of DefenseArmy
  6. Underwater Blast Injury Monitoring

    SBC: TRITON SYSTEMS, INC.            Topic: DHA17C002

    Triton Systems, Inc. proposes to develop a piezo-textile that can capture underwater explosion pressure wave patterns to ultimately establish and monitor for injury risk severity. We propose to use a state-of-the-art piezo-textile to which we will apply our own proprietary treatments.We will assess our textiles pressure detection performance and durability against a non-textile piezoelectric array ...

    STTR Phase I 2018 Department of DefenseDefense Health Agency
  7. THz and Sub-THz MEMS-Fabricated Klystron Amplifier

    SBC: INNOSYS, INC.            Topic: A09AT016

    InnoSys and Purdue University will continue to research and develop robust Phase I approaches for building, implementing and demonstrating a new class of terahertz (THz) vacuum electronic device (VED) power amplifiers and power sources at frequencies in the range of 0.3-3.0 THz (the THz regime) employing advanced micro electro mechanical system (MEMS) and vacuum technology and processes. There is ...

    STTR Phase II 2010 Department of DefenseArmy
  8. Thin-Film Multiferroic Heterostructures for Frequency-Agile RF Electronics

    SBC: BOSTON APPLIED TECHNOLOGIES, INCORPORATED            Topic: A11aT018

    Microwave technologies have found a broad range of and growing applications, especially in the area of communications. Many microwave tunable devices are bulky and incompatible with RF semiconductor IC technology. The slow tuning response speeds, high material losses, and device noise at higher frequencies have also limited their widespread applications.Recent advances in processing complex oxide ...

    STTR Phase II 2013 Department of DefenseArmy
  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: POLARIS SENSOR TECHNOLOGIES INC            Topic: SOCOM18A001

    The objective of this proposal is to develop instrumentation and algorithms for acquiring facial features for facial recognition in low- and no-light conditions.We will use cross-spectrum matching by exploiting infrared polarimetric imagery which tends to show features that match more closely visible imagery than conventional infrared.In addition to thermal infrared, we will also test subjects in ...

    STTR Phase I 2018 Department of DefenseSpecial Operations Command
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