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The Award database is continually updated throughout the year. As a result, data for FY20 is not expected to be complete until September, 2021.

  1. Hybrid DNN-based Transfer Learning and CNN-based Supervised Learning for Object Recognition in Multi-modal Infrared Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: 1

    On this effort Toyon Research Corp. and The Pennsylvania State University are developing deep learning-based algorithms for object recognition and new class discovery in look-down infrared (IR) imagery. Our approach involves the development of a hybrid classifier that exploits both transfer learning and semi-supervised paradigms in order to maintain good generalization accuracy, especially when li ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  2. Algorithms for Look-down Infrared Target Exploitation

    SBC: Signature Research, Inc.            Topic: 1

    Signature Research, Inc. (SGR) and Michigan Technological University (MTU) propose a Phase I STTR effort to develop a learning algorithm which exploits the spatio-spectral characteristics inherent within IR imagery and motion imagery.Our archive of modelled and labeled data sets will allow our team to thoroughly capture the variable elements that will drive machine learning performance.The overall ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  3. Bioaerosol Detector Wide Area Network

    SBC: Arete Associates            Topic: A17AT020

    Historically, the monitoring and detection of biological threats has been carried out via the deployment of high sensitivity / high complexity monitoring nodes to insure high probability of detection and low false alarm rate. Unfortunately, this detection strategy has inherent limits with respect to coverage and response due to its high deployment/support costs, mandating a new approach to environ ...

    STTR Phase I 2017 Department of DefenseArmy
  4. Biological Agent Detection Network

    SBC: Physical Sciences Inc.            Topic: A17AT020

    Physical Sciences Inc. in cooperation with University of Notre Dame proposes to develop a method for the persistent surveillance and detection of aerosolized biological warfare agents using a distributed point bioaerosol detector network, local meteorological sensors, existing infrared surveillance cameras, and crowdsourced georeferenced network traffic and phrase monitoring. The proposed technolo ...

    STTR Phase I 2017 Department of DefenseArmy
  5. Anticipatory Analytics for Environmental Stressors

    SBC: ISCIENCES L L C            Topic: A17AT021

    Environmental stresses such as droughts, floods, storms, earthquakes, wildfires, pest infestations, volcanic eruptions, and infectious disease vectors are often key contributing factors to defense interventions, including humanitarian response, counter insurgency, and border control. As a result, early phase military planning activities need to incorporate systematic monitoring and forecasting of ...

    STTR Phase I 2017 Department of DefenseArmy
  6. Atomic Layer Deposition of Highly Conductive Metals

    SBC: Radiation Monitoring Devices, Inc.            Topic: A17AT001

    Novel photonic structures, such as periodic metal-dielectric photonic bandgap structures (MDPBG) have the potential to revolutionize the field of optical windows. The large mismatch in the permittivities of the metal and dielectric creates resonant tunneling, which allows for high transmission in regions where metals are typically opaque. This property makes MDPBGs very attractive for screening or ...

    STTR Phase I 2017 Department of DefenseArmy
  7. Two-color Infrared Laser Arrays for Scene Projection

    SBC: ATTOLLO ENGINEERING, LLC            Topic: A17AT018

    Current scene projection hardware is challenged to simultaneously meet the requirements for high peak temperature (> 2000K), high resolution (> 1Kx1K), response time < 1 ms, cryogenic and temporally uniform photon flux. MEMS, Resistor arrays, liquid crystals, and photonic crystals all suffer in one or more areas. MEMS suffer from flicker and low dynamic range. Resistor arrays suffer from low frame ...

    STTR Phase I 2017 Department of DefenseArmy
  8. RiskWatch: Linking Environmental Stressors to Security Outcomes

    SBC: INFERLINK CORPORATION            Topic: A17AT021

    Many environmental factors can potentially affect a communitys security. In this project, we propose to develop an open source system, called RiskWatch, for harvesting data from multiple sources and linking that data to security outcomes. Relevant data can potentially be found in a wide variety of sources, including structured, numeric data sets and images published by governments and NGOs, in na ...

    STTR Phase I 2017 Department of DefenseArmy
  9. Additive Manufactured Smart Structures with Discrete Embedded Sensors

    SBC: Triton Systems, Inc.            Topic: A17AT024

    The purpose of this proposal is to additively manufacture (AM) smart structures with embedded electronics such as sensors, accelerometers, antennas, etc. The goal of these smart structures will be to enhance the effectiveness and survivability of the Armys ground systems. The use of additive manufacturing smart structures provides flexibility in the materials used and the functionality of the elec ...

    STTR Phase I 2017 Department of DefenseArmy
  10. Artificial Intelligence/Machine Learning to Improve Maneuver of Robotic/Autonomous Systems

    SBC: AUTONOMOUS SOLUTIONS, INC.            Topic: A17AT019

    Robotic autonomous systems (RAS) are currently being used for many different applications using a wide variety of vehicle platforms. The environments in which RAS are being used are becoming increasingly complex. Vehicle path planning and control is challenging in environments with many obstacles and uneven terrain. This proposed research will develop and compare multiple techniques to improve veh ...

    STTR Phase I 2017 Department of DefenseArmy
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