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 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. Novel Cooling System for Laser Enclosure

    SBC: PHOTONWARES CORP            Topic: N18AT001

    We propose to utilize a laser 3D printing manufacturing technique to realize an ultra high efficiency micro-channel laser head cooling system with high thermal load capacity in a small volume package. The new approach incorporates key technical innovations that drastically increase the forced water flow interaction surface area and the metal thermal conductivity. The approach enables conformal geo ...

    STTR Phase I 2018 Department of DefenseNavy
  2. Situational Awareness for Mission Critical Ship Systems using Probabilistic Knowledge Graph

    SBC: INTELLIGENT FUSION TECHNOLOGY, INC.            Topic: N18AT009

    This effort proposes to develop situational awareness methodologies for mission critical ship system based on the state-of-the-art probabilistic knowledge graph (KG) and deep learning. The proposed KG approach can incorporate various data fusion technologies for analysis of unstructured data (text, images, etc.) and structured data (signal feeds, database items, etc.) for automated decision suppor ...

    STTR Phase I 2018 Department of DefenseNavy
  3. Full Featured Low-Cost HMS for Combatant Craft

    SBC: QUALTECH SYSTEMS INC            Topic: N18AT015

    Qualtech Systems, Inc. (QSI), in collaboration with VU proposes to develop a state-of-the art HMS system featuring: (1) Low Hardware cost by leveraging industrial-grade computers ruggedized to military specifications (2) Low Software cost by leveraging QSI’s COTS TEAMS software with real-time monitoring and diagnosis capabilities (3) Vibration and Shock Analysis and its impact on vehicle and cre ...

    STTR Phase I 2018 Department of DefenseNavy
  4. System for Nighttime and Low-Light Face Recognition

    SBC: Systems & Technology Research LLC            Topic: SOCOM18A001

    Face recognition performance using deep learning has seen dramatic improvements in recent years. This improvement has been fueled in part by the curation of large labeled training datasets with millions of images of hundreds of thousands of subjects.This results in effective generalization for matching over pose, illumination, expression and age variation, however these datasets have traditionally ...

    STTR Phase I 2018 Department of DefenseSpecial Operations Command
  5. 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
  6. Active Imaging through Fog

    SBC: SA PHOTONICS, LLC            Topic: N18AT021

    Active imaging systems are used to for imaging in degraded visual environments like that found in marine fog and other environments with a high level of attenuation and scattering from obscurants like fog, rain, smoke, and dust.These systems are still limited in range and resolution. SA Photonics is taking advantage of multiple image enhancement techniques, like wavelength tunability, pulse contro ...

    STTR Phase I 2018 Department of DefenseNavy
  7. Accurate Flow-Through Conductivity Sensor for Autonomous Systems

    SBC: D 2 INC            Topic: N18AT022

    UUVs have become increasingly important tools in the collection of environmental data. Their unique ability to operate independent of surface vessel conditions allows oceanographic seawater measurements when traditional means is not possible. Historically sensor packages for UUVs have been based on adaptions of ship deployed equipment. Recent development in sensors, such as the Hybrid Flow Through ...

    STTR Phase I 2018 Department of DefenseNavy
  8. Jellyfish-Inspired Profiling Floats

    SBC: Boston Engineering Corporation            Topic: N18AT025

    With MEDUSAE, our world class team proposes to leverage our extensive experience, existing technology, and a unique approach to lightweight, long lasting, self-recharging jellyfish-inspired floats to fill an oceanographic sensing capability gap for the Navy. Our experience in bio-inspired robot (including jellyfish), nonconventional actuation, and energy harvesting development promises to provide ...

    STTR Phase I 2018 Department of DefenseNavy
  9. Protocol Feature Identification and Removal

    SBC: P & J ROBINSON CORP            Topic: N18AT018

    Protocols used for communication suffer bloat from a variety of sources, such as support for legacy features or rarely used (and unnecessary) functionality. Traditionally, the Navy subscribes to a blanket adoption of a standard protocol "as is". Unnecessary features are active and can be accessed by both internal and external systems creating security vulnerabilities. PJR Corporation's (PJR's) Pha ...

    STTR Phase I 2018 Department of DefenseNavy
  10. Twiner

    SBC: SOAR TECHNOLOGY INC            Topic: N18AT019

    We currently lack the ability to holistically and autonomously look across all three layers of cyberspace (persona, logical and physical) and identify interesting patterns, which would give us an edge in understanding complex activities in and through cyberspace. To address this challenge, Soar Technology (SoarTech) and the GeorgiaTech Research Institute (GTRI) propose Twiner, an intelligent syste ...

    STTR Phase I 2018 Department of DefenseNavy
US Flag An Official Website of the United States Government