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Intelligent Capture of Digital Imaging for Systems Engineering, Modeling, and Training

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-23-C-0481
Agency Tracking Number: N231-056-0784
Amount: $139,999.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N231-056
Solicitation Number: 23.1
Timeline
Solicitation Year: 2023
Award Year: 2023
Award Start Date (Proposal Award Date): 2023-06-15
Award End Date (Contract End Date): 2023-12-11
Small Business Information
6800 Cortona Drive
Goleta, CA 93117-3021
United States
DUNS: 054672662
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Brian Stieber
 (703) 674-0612
 bstieber@toyon.com
Business Contact
 Marcella Lindbery
Phone: (805) 968-6787
Email: mlindbery@toyon.com
Research Institution
N/A
Abstract

The U.S. Navy is adopting video sensors that produce ever increasing numbers of pixels at faster frame rates. To leverage these pixels, Artificial Intelligence / Machine Learning Algorithms are being trained and deployed to the video processing systems that support the sensors. However, to achieve robust performance of these and future algorithms the Navy must intelligently store a subset of the video data for future algorithm training without overwhelming the recording capacity of the deployed system. In Phase I Toyon proposes developing Deep Reinforcement Learning (DRL) agents to ingest streamed data and perform intelligent video recording that consider the size, saliency and quality of the recorded data. These agents will serve as the feasibility demonstration for the planned Phase II extension of these capabilities to consider complex video recording schemes and input data sources.

* Information listed above is at the time of submission. *

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