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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.

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. Mechanized Skins for Morphing Aircraft Structures

    SBC: Techno-Sciences, LLC            Topic: AF06T013

    Techno-Sciences, Inc. (TSi), in collaboration with the Smart Structures Laboratory of the Alfred Gessow Rotorcraft Center at the University of Maryland (UMD), proposes to develop an innovative mechanized skin technology for large-scale area changes in morphing UAVs. The pneumatically driven morphing skin (PDMS) system will exploit superior performance characteristics of McKibben actuators, in con ...

    STTR Phase I 2006 Department of DefenseAir Force
  2. A Variable-fidelity Simulation Tool for Dynamic Non-linear Fluid/Structure Interaction Problems

    SBC: Techno-Sciences, LLC            Topic: AF06T016

    Techno-Sciences, Inc. (TSi), in collaboration with the Smart Structures Laboratory of the Alfred Gessow Rotorcraft Center at the University of Maryland (UMD), propose to develop a high-fidelity fluid-structure interaction model that is uniquely suited to morphing wing aeroelastic and response prediction. We propose to produce a flapping wing fluid-structure interaction (FWFSI) analysis method to ...

    STTR Phase I 2006 Department of DefenseAir Force
  3. Image-based Tracking and Resource Allocation Algorithms for Unmanned Aerial Vehicles

    SBC: TOYON RESEARCH CORPORATION            Topic: AF06T020

    We propose to develop advanced algorithms and software to collaboratively track people and vehicles in an urban environment using video imagery (visible, IR) from a network of unmanned aerial vehicles (UAVs). The tracking and data fusion architecture will have one fusion node in a surveillance region, with a number of UAVs associated with the fusion node. We propose the multiple hypotheses trackin ...

    STTR Phase I 2006 Department of DefenseAir Force
  4. Additive Manufacturing Sensor Fusion Technologies for Process Monitoring and Control.

    SBC: X-Wave Innovations, Inc.            Topic: DLA18A001

    Additive Manufacturing (AM) is a modern and increasingly popular manufacturing process for metallic components, but suffers from well known problems of inconsistent quality of the finished product. Process monitoring and feedback control are therefore crucial research areas with a goal of solving this problem. To address this concern, X-wave Innovations, Inc. (XII) and the University of Dayton Res ...

    STTR Phase I 2018 Department of DefenseDefense Logistics Agency
  5. 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
  6. A lightweight infrastructure for detection and mitigation of insider threats in distributed environments

    SBC: SCIENTIFIC SYSTEMS CO INC            Topic: MDA06T009

    The insider threat remains one of the most difficult to detect -- left alone to mitigate -- threats against information systems. The overall objective of the effort (Phase I and Phase II) is to produce and prototype a Distributed Insider Threat Detection System (DITDS) for distributed environments, capable of identifying and quantifying emerging insider threats against the network, allowing for t ...

    STTR Phase I 2006 Department of DefenseMissile Defense Agency
  7. Aided Navigation: Theory and Applications for Sensors and Architectures

    SBC: SCIENTIFIC SYSTEMS CO INC            Topic: AF06T032

    The coupling of GPS and INS is often characterized as loose, tight, or ultra-tight depending on the nature of the GPS input to the navigation filter. Thus, considering the challenge of precision navigation without GPS, this project will test and validate the coupling of sensor (EO, IR) information such as ego-motion and position updates similar to the coupling of a GPS and INS system. This proje ...

    STTR Phase I 2006 Department of DefenseAir Force
  8. ADAPT: Allocation of Dynamic Attention across People & Teams

    SBC: APTIMA INC            Topic: AF06T003

    Effective task management is a critical component of mission success. As warfighters are given more information to monitor, however, their ability to detect and attend to critical information and tasks is stressed. An automatic task manager is needed to help ensure that responses to events occur in a timely manner. The foundation of such a tool is an accurate model of human dynamic attention. Many ...

    STTR Phase I 2006 Department of DefenseAir Force
  9. CIFTS:Communications and Information Flow Tracking System

    SBC: APTIMA INC            Topic: AF06T027

    Electronic text chat has become a primary medium of communication throughout the military over the past fifteen years. In organizations such as the Air and Space Operations Center’s Dynamic Targeting Cell (DTC), it is used extensively among team members as they collaboratively process information about time sensitive targets for prosecution. To assure the highest degree of performance, operators ...

    STTR Phase I 2006 Department of DefenseAir Force
  10. Guidelines and Rules Instrument for Displays in 3D (GRID 3D)

    SBC: APTIMA INC            Topic: N06T019

    Technology continues to advance at faster and faster rates. Often new technology is created with little regard for the impact to the humans who must use this technology. One new technology the Navy is considering using is autostereographic displays, which permit users to see a true 3D image without wearing cumbersome glasses. Aptima and its partner, Dr. Dirk Reiners of Iowa State University, will ...

    STTR Phase I 2006 Department of DefenseNavy
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