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The Award database is continually updated throughout the year. As a result, data for FY19 is not expected to be complete until April, 2020.

  1. Software-Performed Segregation of Data and Processes within a Real-Time Embedded System

    SBC: TRUSTED SCIENCE AND TECHNOLOGY, INC.            Topic: AF19AT013

    Majority of mission critical systems store and transport heterogeneous information with multiple level of security , which requires assured information segregation. The proposed technology is a software solution to provide highly assured data and process separation and isolation.

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

    SBC: Dynamic Dimension Technologies, LLC            Topic: AF19BT001

    This proposal addresses the Department of Defense (DoD) AI Strategy focus area streamlining business processes.Dynamic Dimension Technologies (DDT) proposes the use of AI and blockchain technology to automate and increase the security of Air Force base (AFB) security-gate, restricted area, and facility access processes.AI can automate AFB gate access to regular visitors (employees, military, etc.) ...

    STTR Phase I 2019 Department of DefenseAir Force
  3. Comprehensive Surf Zone Modeling Tool

    SBC: Dynamic Dimension Technologies, LLC            Topic: N19AT010

    The littoral and specifically surf zone regions with breaking waves, bathymetry, weather, currents, tides, obstacles, etc. create a dynamic environment that can be very challenging for conducting operations. Systems are being developed to increase situational awareness in this region, however expensive physical testing to verify performance is limited to specific areas and conditions. To supplemen ...

    STTR Phase I 2019 Department of DefenseNavy
  4. REVAMP: REcommendation, Verification, and Analysis for Mission Planning

    SBC: Intelligent Automation, Inc.            Topic: N19BT029

    Effective and efficient data-driven mission support is crucial for achieving readiness and superiority in warfighting enterprises. Leveraging machine learning (ML) and artificial intelligence (AI) in mission planning would not only minimize the human-error factors and increase accuracy, but also improve speed in planning, execution, and evaluation of a mission. REVAMP will improve the next generat ...

    STTR Phase I 2019 Department of DefenseNavy
  5. HASLOC: Hierarchical And-Or Structures for Localization and Object Recognition

    SBC: Intelligent Automation, Inc.            Topic: AF18AT014

    Target detection and recognition is a challenging problem because of changes in appearance, viewing direction, occlusion and other covariates. Systems that can accurately and efficiently detect and track objects can provide several benefits in surveillance, monitoring and other applications. As part of this effort, we propose to develop a robust learning-based approach to detect, track and recogni ...

    STTR Phase II 2019 Department of DefenseAir Force
  6. Rapid Discovery of Evasive Satellite Behaviors

    SBC: APPLIED DEFENSE SOLUTIONS, INC.            Topic: AF17CT02

    This is a prototype system that will take raw observation data, detect and characterize maneuvers, and use reinforcement learning to understand and react to evasive RSO behaviors in near real time. This will provide a framework to evaluate autonomous behavior strategies, such a safety, effectiveness, and robustness to manipulation. This work will enable surveillance operators to distinguish betwee ...

    STTR Phase I 2018 Department of DefenseAir Force
  7. Adaptive Markov Inference Game Optimization (AMIGO) for Rapid Discovery of Evasive Satellite Behaviors

    SBC: INTELLIGENT FUSION TECHNOLOGY, INC.            Topic: AF17CT02

    Space superiority requires space protection and space situational awareness (SSA), which rely on rapid and accurate space object behavioral and operational intent discovery. The focus of this project is to develop a stochastic approach for rapid discovery of evasive satellite behaviors. Designing the innovative decision support tool has numerous challenges: (i) partial observable actions; (ii) eva ...

    STTR Phase I 2018 Department of DefenseAir Force
  8. Verification and Validation of Algorithms for Resilient Complex Software Controlled Systems

    SBC: APPLIED DEFENSE SOLUTIONS, INC.            Topic: AF17CT05

    In response to the challenges described in AF173-CT05, Applied Defense Solutions (ADS) and the University of New Mexico (UNM) (equivalently, the ADS Team) propose to research and develop innovative validation and verification (V&V) algorithms for spacecraft GN&C. The ADS Team is unique in that it brings operational flight GN&C software experience (ADS) with cutting edge research on algorithm V&V ( ...

    STTR Phase I 2018 Department of DefenseAir Force
  9. Innovative Processing Techniques for Additive Manufacture of 7000 Series Aluminum Alloy Components

    SBC: Product Innovation And Engineering, LLC            Topic: N18AT005

    The goal of this STTR Phase I research proposal is to develop a proof of concept for a novel additive manufacturing (AM) process that will be capable of processing 7000 series AM aluminum alloys while minimizing defects, with an eventual goal of Phase II/III project to commercialize the developed technology. To achieve this goal, the technical objectives, the proposed technology includes the follo ...

    STTR Phase I 2018 Department of DefenseNavy
  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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