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 FY22 is not expected to be complete until September, 2023.

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. Autonomous Decision Making via Hierarchical Brain Emulation-- 19-009

    SBC: METRON, INCORPORATED            Topic: AF19AT009

    The objective of this project is to develop human intelligence-inspired algorithms that exploit multi-modal sources of low and high quality data to achieve a series of objectives such as detection, localization, tracking, and classification. A Bayesian model-based hierarchical adaptive decision making (HADM) algorithm will be developed which includes multiple levels of decision making organized in ...

    STTR Phase I 2019 Department of DefenseAir Force
  2. ENHANCE – Enabling Hybrid Anodes with Nano-Carbon Electrodes

    SBC: Cellec Technologies, Inc.            Topic: AF19AT014

    The objective of this research program is to develop an ultra-lightweight carbon nanotube-lithium metal (CNT-Li) hybrid anode to enable high energy density lithium ion cells. These CNT-Li anodes will be paired with carbon nanotube enhanced high areal loading (mAh/cm2) cathodes to achieve cell-level energy densities that exceed 400 Wh/kg at the cell-level and have the potential to exceed 500 Wh/kg. ...

    STTR Phase I 2019 Department of DefenseAir Force
  3. Terahertz cyber security testing using artificial intelligence (FA-002)

    SBC: Electronics of the future, Inc..            Topic: AF19BT001

    The focus of this proposal is FA-002 - artificial intelligence (AI), which will be used for the hardware cyber security. AI will link the THz and sub-THz responses at the pins to the defects and deviations from design of the integrated circuits under test. An increasing complexity of digital and mixed-signal systems makes establishing the authenticity of a chip to be a key problem. New rapid, inex ...

    STTR Phase I 2019 Department of DefenseAir Force
  4. Design of Flexible Materials for Aerodynamic Structures

    SBC: Atrevida Science LLC            Topic: AF19BT001

    The PI has worked on a design concept for a wind turbine blade with adaptive twist transformation. The design improves wind capture and reduces loading on the system drivetrain turbine by adapting the twist distribution in relation to wind speed. Structural adaptability is enabled by actuating a series of compliant segments that are mounted on a relatively rigid spar. The segments are assumed to h ...

    STTR Phase I 2019 Department of DefenseAir Force
  5. Open Call for Science and Technology Created by Early-Stage (e.g. University) Teams

    SBC: OmniScience LLC            Topic: AF19BT001

    This proposed Phase I STTR effort will be a collaboration between OmniScience LLC and the University of Colorado Colorado Springs (UCCS) Vision and Security Technology (VAST) Lab. The primary objective of this Phase I effort is to demonstrate feasibility of a brain computer interface (BCI) controller for augmented/virtual reality (AR/VR) and conventional screen displays, referred to herein as an A ...

    STTR Phase I 2019 Department of DefenseAir Force
  6. Integrated Quantum Systems Design and Fabrication Technology

    SBC: Guided Particle Systems Inc.            Topic: AF19BT001

    Our proposal is focused on determining the need and feasibility for integrated quantum systems design and fabrication technologies to enable rapid research and development prototyping, and subsequent production, and an industrial base for integrated quantum machines and systems. We focus on the problem of field-able quantum systems for communication networks to support the Air Force as a use case ...

    STTR Phase I 2019 Department of DefenseAir Force
  7. CIM-MIAS (Cyber Information Management and Mission Impact Analysis System)

    SBC: Modus Operandi, Inc.            Topic: AF18CT002

    The DoD lacks an multi-level security (MLS) cyber information management (CIM) system capable of collecting, sharing and disseminating cyber information containing threats, system vulnerabilities and mission impacts and risks for systems operating at multiple security levels. A system that can securely collect and persist this information from various systems operating at various security levels i ...

    STTR Phase I 2019 Department of DefenseAir Force
  8. Space-Based Computational Hyperspectral Machine Vision using Compressed Sensing Neural Networks

    SBC: Kent Optronics, Inc.            Topic: AF19AT015

    In this STTR Phase I proposal, Kent Optronics (KOI) together with its partner, Rice University, propose to develop novel deep learning algorithms to perform machine vision tasks such as target recognition and tracking utilizing the direct measurements from a compressive hyperspectral imaging system. By skipping the hypercube reconstruction, this combination of hardware and software will allow real ...

    STTR Phase I 2019 Department of DefenseAir Force
  9. Vibration imaging for the characterization of extended, non-cooperative targets

    SBC: Guidestar Optical Systems, Inc.            Topic: AF19AT006

    Locating objects that vibrate is a way to discern potential threats and locate targets. However, current vibrometry technology typically measures only the global vibration of target and cannot create an extended spatial measurement of the vibration profile of the target. These solutions cannot identify what the target is, nor can they locate potential weak spots on the target, because they lack sp ...

    STTR Phase I 2019 Department of DefenseAir Force
  10. 3D imaging for tracking and aim-point maintenance in the presence of target-pose changes

    SBC: TAU TECHNOLOGIES LLC            Topic: AF19AT005

    We propose a three-dimensional imaging approach based on digital holography. Our approach is based on frequency diversity using a single chirped pulse instead of a train of pulses with different frequencies. Our approach promises to mitigate most of the issues limiting the performance of current methods and offer additional enabling capabilities that will improve target identification and tracking ...

    STTR Phase I 2019 Department of DefenseAir Force
US Flag An Official Website of the United States Government