The Award database is continually updated throughout the year. As a result, data for FY19 is not expected to be complete until September, 2020.
SBC: Lynntech Inc. Topic: NGA181010
The objective of this project is to design a software architecture based on densely-connected neural network to perform automatic targetsegmentation and recognition using training datasets of limited size (low-shot). Deep learning architectures have proved to be extremelyeffective at object detection and recognition, but such capability comes at the cost of having large labeled datasets. Such data ...SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
SBC: Total Quality Systems, Inc. Topic: 833
TECHNICAL ABSTRACT: The objective of this project is to research the technical feasibility of designing a software tool “Permit Wizard” that will automate the process for aquamarine permit application submittal, review, approval/disapproval and issue (including collection of fees). Aquaculture producers are currently faced with slow, complex, and often confusing permitting processes that must ...SBIR Phase I 2018 Department of CommerceNational Oceanic and Atmospheric Administration
Development of a Rapid Monitoring System for Detection of Pathogens in Marine Aquaculture OperationsSBC: InnovaPrep, LLC Topic: 836
TECHNICAL ABSTRACT: InnovaPrep proposes to develop a rapid sample-to-answer monitoring system for detecting pathogens in marine aquaculture waters. An assessment of industry needs will include a kickoff meeting with NOAA and a visit to Toby Island Bay Oyster Farm. Following the assessment and report, a TRL-4 breadboard prototype system will be developed that will include the combination of sample ...SBIR Phase I 2018 Department of CommerceNational Oceanic and Atmospheric Administration