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Real-time Evaluation, Compression, and Organization of Recorded Data using Extensible Rules (RECORDER)

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-23-C-0429
Agency Tracking Number: N231-056-0368
Amount: $146,466.00
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
625 Mount Auburn Street
Cambridge, MA 02138-4555
United States
DUNS: 115243701
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Ross Eaton
 (617) 491-3474
 reaton@cra.com
Business Contact
 Mark Felix
Phone: (617) 491-3474
Email: contracts@cra.com
Research Institution
N/A
Abstract

Navy ships have many cameras for situational awareness, but they produce more video than humans can effectively review, and the gap is widening. Currently, all video is recorded, but the sparse relevant data (e.g., showing interesting targets or conditions) is practically impossible to find among the rest. This lost data compromises decision-making and delays machine learning and autonomy efforts. Charles River is facing similar challenges reviewing video from our maritime perception product, Awarion™. Thus, we propose Real-time Evaluation, Compression, and Organization of Recorded Data using Extensible Rules (RECORDER). RECORDER is an intelligent video recording system that ingests video and associated metadata in a variety of formats, encodes the metadata in an ontology, evaluates the metadata against a collection of user-defined rules (encoded with the same ontology) to select only the data of interest, and stores that data and its metadata at an appropriate level of fidelity in an easily searchable database for subsequent use by human analysts or machine learning algorithms. Users can add rules to expand what is recorded. RECORDER also provides a graphical user interface to review recent data and manually initiate recording, which it uses to suggest new rules to capture similar data in the future.

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

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