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 FY20 is not expected to be complete until September, 2021.

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. AeroQUEST: Aeromedical Quantified Understanding via Experimental Standards Toolkit

    SBC: Aptima, Inc.            Topic: DHA17C001

    Adverse physiological events (PEs) have plagued warfighters piloting military aircraft, in particular PEs involving hypoxia and cockpit cabin decompression. Though there has been a large variety of research performed in trying to understand the problems and why theyre caused, there are inefficiencies due to the lack of standardized cross-laboratory protocols, procedures, and metrics. To address th ...

    STTR Phase I 2018 Department of DefenseDefense Health Program
  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. A Portable Multimodality System for in-field Airway Injury Assessment and Compliance Measurement

    SBC: Radiation Monitoring Devices, Inc.            Topic: DHP16C006

    Airway compromise is the third leading cause of potentially preventable death on the battlefield. Current evaluation techniques of the airways associated with smoke inhalation injury are highly subjective and lack the sensitivity required of an accurate diagnostic and assessment tool. The problem of detection is further compounded by the late onset of symptoms that in many cases do not present unt ...

    STTR Phase II 2018 Department of DefenseDefense Health Program
  4. Bio-magnetic Detection of Neuromuscular and Wound Related Injuries

    SBC: Triton Systems, Inc.            Topic: DHP17A001

    It is generally recognized that the human body transmits electro-magnetic fields (EMF). The Phase I program demonstrated a practical solution to detect these emissions. The technology was shown to be compatible for integration into wearable textiles. The Phase 2 program will focus on demonstrating the capability of discriminating between healthy and injury related EMF emissions such that it can be ...

    STTR Phase II 2018 Department of DefenseDefense Health Program
  5. Biomimetic Slope Adaptive Foot-Ankle Prosthesis

    SBC: MOTION CONTROL, INC            Topic: DHP16C007

    The primary objective is to develop a commercially-viable prototype of the slope adaptive prosthesis design and to iteratively improve the design based on ISO standards testing and rigorous use in human subject field trials. The proposed work will build upon knowledge gained in Phase I of the project, which established feasibility for this design approach in a lightweight, passive hydraulic foot-a ...

    STTR Phase II 2018 Department of DefenseDefense Health Program
  6. CCHAT Handoff Protocol

    SBC: SOAR TECHNOLOGY, INC.            Topic: DHA17B002

    Research has identified that handoffs are particularly important communication processes, during which communication error can lead to patient safety situations. Organizations have created standard practices and training materials to encourage teamwork communication for handoffs, however these do not necessarily capture the needs of military medicine of combat casualty care. Combat casualty handof ...

    STTR Phase I 2018 Department of DefenseDefense Health Program
  7. Combat Casualty Handoff Automated Trainer (CCHAT)

    SBC: SOAR TECHNOLOGY, INC.            Topic: DHA17B001

    Combat casualty handoffs are critical communication moments during which responsibility for the patient and important casualty information is transferred between providers. The nature of these handoffs requires specialized training, for which no standardized framework currently exists. The proposed effort aims to develop a capability, compatible with current DoD systems, that provides caregivers w ...

    STTR Phase I 2018 Department of DefenseDefense Health Program
  8. Griffon Test Suite

    SBC: SOAR TECHNOLOGY, INC.            Topic: DHA17C001

    In this proposal we support the development of a hypoxia test battery by designing and developing a domain general tool suite for processing, synchronizing, and evaluating data from cognitive, behavioral, and physiological measures.The proposed Griffon Tool Suite addresses many of the practical requirements demanded by a flexible test battery. The effort falls into three major thrusts.First, we pr ...

    STTR Phase I 2018 Department of DefenseDefense Health Program
  9. Handoff Training for Combat Casualty Care (HTC3) Framework

    SBC: PERCEPTRONICS SOLUTIONS, INC.            Topic: DHA17B001

    This proposal is to develop a Handoff Training for Combat Casualty Care (HTC3) Framework.Training is the crux of the handoff problem today. Patient handoffs are a crucial part of casualty care, both in military and civilian environments; and today handoffs are being performed in less than optimal fashion, with ineffective communications accounting for 80% of the handoff errors. Our new HTC3 Framew ...

    STTR Phase I 2018 Department of DefenseDefense Health Program
  10. 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
US Flag An Official Website of the United States Government