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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.
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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
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
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
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
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
Hybrid DNN-based Transfer Learning and CNN-based Supervised Learning for Object Recognition in Multi-modal Infrared ImagerySBC: 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
SBC: TOYON RESEARCH CORPORATION Topic: NGA181006
Toyon Research Corporation proposes to research and develop algorithms for generalized change detection, by leveraging and exploringexisting and proven effective traditional and deep learning methods, with a unique 3D reconstruction component. The vast majority of themassive amounts of imagery data will have small pixel level differences due to a multitude of unimportant changes: minor misregistra ...SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
SBC: TOYON RESEARCH CORPORATION Topic: NGA181010
The National Geospatial-Intelligence Agency (NGA) ingests and analyzes raw imagery from multiple sources to form actionable intelligenceproducts that can be disseminated across the intelligence community (IC). To effectively meet these demands NGA must continue to improveits automated and semi-automated methods for target detection and classification. Of particular concern is furthering NGA's abil ...SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
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
SBC: CFD RESEARCH CORPORATION Topic: CBD18A001
In resource limited settings, rapid and accurate diagnosis of infections is critical for managing potential exposures to highly virulent pathogens,whether occurring from an act of bioterrorism or a natural event. This is especially important for hard to detect intracellular bacterial andalphavirus infections, that overlap symptomatically and often treated empirically due to a lack of reliable and ...STTR Phase I 2018 Department of DefenseOffice for Chemical and Biological Defense