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DZYNE Technologies Incorporated SBIR Phase II Award, January 2019

A SBIR Phase II contract was awarded to Dzyne Technologies in January, 2019 for $751,069.0 USD from the U.S. Department of Defense and United States Navy.

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Contents

sbir.gov/node/1850195
Is a
SBIR/STTR Awards
SBIR/STTR Awards

SBIR/STTR Award attributes

SBIR/STTR Award Recipient
Dzyne Technologies
Dzyne Technologies
0
Government Agency
U.S. Department of Defense
U.S. Department of Defense
0
Government Branch
United States Navy
United States Navy
0
Award Type
SBIR0
Contract Number (US Government)
N68335-19-C-00440
Award Phase
Phase II0
Award Amount (USD)
751,0690
Date Awarded
January 10, 2019
0
End Date
July 27, 2020
0
Abstract

The use of imagery is essential to the Navy’s maritime domain awareness. Ability to retrieve relevant imagery and retain these data sets for exploitation drastically improves the Navy’s ability to conduct Intelligence Surveillance Reconnaissance operations. Current imagery management system does not account for user’s query and metadata filtering priorities, which can lead to loss of valuable imagery data as onboard storage capacity becomes limited. DZYNE Technologies proposes to extend the Smart Caching of Imagery for Carry On System (SCICOS) that leverages our experience in data management and image and metadata content extraction to provide a scalable imagery management system. We propose a data retention strategy (imagery caching) that leverages the user’s query and persistence rules to rank imagery priority. The Phase II SCICOS system maintains imagery retention automatically based on user’s interaction and configuration of the persistence rule set, which allows the user to focus on their mission operations. The effort will develop a solution that supports (a) intuitive query and filter selection of imagery by metadata; (b) an automated imagery retention based on user’s usage and persistence rule definition; (c) a scalable framework for imagery management that automatically extracts metadata and imagery content to increase rapid search and retrieval.

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