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The Award database is continually updated throughout the year. As a result, data for FY24 is not expected to be complete until March, 2025.

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. Variational Object Recognition and Grouping Network

    SBC: INTELLISENSE SYSTEMS INC            Topic: NGA181005

    To address the National Geospatial-Intelligence Agency (NGA) need for overhead imagery analysis algorithms that provide uncertaintymeasures for object recognition and aggregation, Intellisense Systems, Inc. (ISS) proposes to develop a new Variational Object Recognition andGrouping Network (VORGNet) system. It is based on the innovation of implementing a Bayesian convolutional neural network (CNN) ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  2. Automated Assessment of Urban Environment Degradation for Disaster Relief andReconstruction

    SBC: TOYON RESEARCH CORPORATION            Topic: NGA181004

    Toyon Research Corp. proposes development of a system that automates disaster assessment based on fusion of overhead and ground-basedimages, video, and other data. In Phase I, we will investigate various possible data sources and the benefits of fusing the data in automatedanalysis. We will select and curate data for processing in a Phase I feasibility study. Damage assessment will be performed in ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  3. Improving Uncertainty Estimation with Neural Graphical Models

    SBC: MAYACHITRA, INC.            Topic: NGA181005

    Building interpretable, composable autonomous systems requires consideration of uncertainties in the decisions and detections theygenerate. Human analysts need accurate absolute measures of probability to determine how to interpret and use the sometimes noisy resultsof machine learning systems; and composable autonomous systems need to be able to propagate uncertainties so that later reasoningsyst ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  4. Bayesian Urban Degradation Assessment

    SBC: INTELLISENSE SYSTEMS INC            Topic: NGA181004

    To address the NGA need for algorithms that fuse observables from over-flight operations and from ground sources to automatically estimatethe degradation of urban environments due to battle damage or natural disasters, Intellisense Systems, Inc. (ISS) proposes to develop a newBayesian Urban Degradation Assessment (BUDA) software system. It is based on the integration of multiple damage assessment ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  5. Guidance System for Autonomous Medium Caliber Munition

    SBC: OPTO-KNOWLEDGE SYSTEMS INC            Topic: SOCOM182001

    OKSI will demonstrate autonomous operations concepts for self-guided munition with Fire-Before-Lock-On-Target capabilities and with obstacle avoidance and anti-defilade targets.We will assess the feasibility of implementing the technology in medium caliber munitions.

    SBIR Phase I 2018 Department of DefenseSpecial Operations Command
  6. Dynamic Diver Breathing Gas Heat Recycler

    SBC: Tanner Research, Inc.            Topic: SOCOM182003

    Tanner proposes to develop a dynamic heat pump system with self-contained, rechargeable battery and driving circuit that operates as a Combination Thermal Recycler (CTR). By utilizing thermal reservoirs coupled with the rebreather mask, heat can be efficiently recycled in proportion to the temperature difference between the exhaled air stream and a target inhaled air temperature. No power would be ...

    SBIR Phase I 2018 Department of DefenseSpecial Operations Command
  7. Diver Breathing Gas Re-heater for Closed Circuit Underwater Breathing Apparatus

    SBC: Sea Star, LLC            Topic: SOCOM182003

    The objective of this proposal is to develop a robust, lightweight and compact device for re-heating and maintaining the temperature of a divers inspired breathing gas when diving on a closed circuit underwater breathing apparatus for the duration of the dive. As a solution, Simuleer proposes to develop the Hybrid Energy Abiotic Thermoelectric (HEAT) system based on a high-power hybrid (i.e. passi ...

    SBIR Phase I 2018 Department of DefenseSpecial Operations Command
  8. Blending Ground View and Overhead Models

    SBC: ARETE ASSOCIATES            Topic: NGA181008

    We propose to build ARGON, the ARet Ground-to-Overhead Network. The network will ingest analyst-supplied ground-level imagery ofobjects and retrieve instances of those objects in overhead collections, providing tips back to the analysts. A proprietary method of trainingthe network, leveraging in-house capabilities, data sources, and tools, will be critical to its success. During Phase I, we will p ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  9. Munition Guidance Package for Use in a GPS and Laser Denied Environment

    SBC: TOYON RESEARCH CORPORATION            Topic: SOCOM182001

    Traditional munition guidance packages rely on the Global Positioning System (GPS) or laser designation technologies to target an operator defined location. However, if either of these systems cannot operate, whether they are being actively denied by the enemy or from harsh environmental conditions, the guidance package will fail to function as designed. Toyon Research Corporation proposes to crea ...

    SBIR Phase I 2018 Department of DefenseSpecial Operations Command
  10. System for Nighttime and Low-Light Face Recognition

    SBC: POLARIS SENSOR TECHNOLOGIES INC            Topic: SOCOM18A001

    The objective of this proposal is to develop instrumentation and algorithms for acquiring facial features for facial recognition in low- and no-light conditions.We will use cross-spectrum matching by exploiting infrared polarimetric imagery which tends to show features that match more closely visible imagery than conventional infrared.In addition to thermal infrared, we will also test subjects in ...

    STTR Phase I 2018 Department of DefenseSpecial Operations Command
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