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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. High Speed High Accuracy Artificial Neural Networks for UAV based Target Identification

    SBC: UHV TECHNOLOGIES, INC.            Topic: AF18BT007

    The machine learning and artificial intelligence community has recently garnered much attention for ground breaking performance of novel neural network architectures for self-driving cars. One of the machine learning methods used in self-driving cars is semantic segmentation. In this fashion each pixel in an image is label with a class, allowing for contour-based image segmentation which is differ ...

    STTR Phase I 2019 Department of DefenseAir Force
  2. Contour Based Image Segmentation

    SBC: VY CORP            Topic: AF18BT007

    We propose to detect and identify moving objects in airborne imagery and full-motion video in unconstrained environments. Conventional techniques result in too many false positives; a new topology is needed to automatically detect and identify moving targets from a moving platform in airborne imagery. Our software is designed to analyze video imagery and deliver curve metadata that can be organize ...

    STTR Phase I 2019 Department of DefenseAir Force
  3. Bayesian-Based Probabilistic Limit Cycle Oscillation Prediction of Aircraft with Stores

    SBC: ZONA TECHNOLOGY INC            Topic: AF18BT008

    The overall technical objective of the Phase I effort is to develop a Bayesian-based, data driven, probabilistic limit cycle oscillation (LCO) prediction tool that can be used to identify critical and non-critical aircraft with stores configurations. This tool will be built upon a non-deterministic nonlinear structural damping (NSD) model integrated in the ZONA Euler Unsteady Solver (ZEUS). The NS ...

    STTR Phase I 2019 Department of DefenseAir Force
  4. Multiphysics Modeling of Dynamic Combustion Processes

    SBC: COMBUSTION RESEARCH & FLOW TECHNOLOGY INC            Topic: AF18BT010

    The objective of this effort is to develop a zonal, multi-physics modeling framework for dynamic combustion processes that can capture relevant local physics and simulate system behavior. The primary focus will be on liquid rocket combustors with secondary application to gas turbines. The goal is to obtain an order of magnitude reduction in current simulation time within acceptable error limits. T ...

    STTR Phase I 2019 Department of DefenseAir Force
  5. Air Force Deep Learning (AFDL)

    SBC: PRIME SOLUTIONS GROUP, INCORPORATED            Topic: AF19AT010

    A Virtual Reality for Multi-Int Deep Learning modeling and simulation environment is proposed which draws from proven advances in modeling and simulation, Big Data technologies and industry leading machine intelligence platforms. RF Physics-based models and simulators focus the environment in the RF domain. A design model emphasizes Big Data control, archive, management, and analytics maintaining ...

    STTR Phase I 2019 Department of DefenseAir Force
  6. Space-Based Computational Imaging Systems

    SBC: ALPHACORE INC            Topic: AF19AT015

    The Alphacore team will develop new advances in onboard processing hardware to enable the Air Force to consider the revolutionary benefits of computational imaging systems for space, e.g., computational imaging systems that combine both optical and computational elements in ways that have the potential to outperform traditional (all-optical) imaging systems. The resulting computational imaging sys ...

    STTR Phase I 2019 Department of DefenseAir Force
  7. Multifunctional Integrated Sensing Cargo Pocket UAS

    SBC: Centeye, Inc.            Topic: AF19AT016

    The overall goal of this project is to prototype a physical robust autonomous nano UAS having the following characteristics: 1) It can handle repeated contacts with hard obstacles at speeds up to 10 meters per second, 2) it includes integrated chemical sensing capable of identifying and homing in on chemicals of interest, 3) it incorporates autonomy technology enabling auto hover and avoidance of ...

    STTR Phase I 2019 Department of DefenseAir Force
  8. Technical training software platform using machine learning and AR for Air Force maintenance and service operation

    SBC: DISTAT CO            Topic: AF19BT001

    A comprehensive technical training software platform combining computer vision and Augmented Reality (AR) technologies can transform the human learning process and experience. Computer vision is leveraged to understand the physical environment, while AR is used to superimpose contextual information onto the physical world. We aim to provide software solution using AR tools and systems to address s ...

    STTR Phase I 2019 Department of DefenseAir Force
  9. 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
  10. Open Call for Science and Technology Created by Early-Stage (e.g. University) Teams

    SBC: ESTAT ACTUATION INC            Topic: AF19BT001

    Designing actuation hardware for autonomous systems is challenging due to the high weight and power consumption of conventional actuators and clutches. Compared to existing clutch technologies, the electroadhesive clutches produced by ESTAT have exceptional holding force as a ratio of both mass and power consumption. They weigh 10x less and consumes 1000x less power than other clutching technologi ...

    STTR Phase I 2019 Department of DefenseAir Force
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