- Patent Title: Systems and related methods employing directed energy and machine learning operable for enabling or protecting from non-destructive degradation or disruption of electro-optic(s) or sensors
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Application No.: US15916475Application Date: 2018-03-09
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Publication No.: US10579911B2Publication Date: 2020-03-03
- Inventor: Tyler Fitzsimmons , Betsy Marschand , Clay Armstrong , Joshua Borneman , Aaron Cole , Lauren Christopher
- Applicant: The United States of America, as represented by the Secretary of the Navy
- Applicant Address: US DC Washington
- Assignee: The United States of America, as Represented by the Secretary of the Navy
- Current Assignee: The United States of America, as Represented by the Secretary of the Navy
- Current Assignee Address: US DC Washington
- Agency: Naval Surface Warfare Center, Crane Division
- Main IPC: G06K9/66
- IPC: G06K9/66 ; H04N7/18 ; G06K9/00 ; G06K9/62 ; G01J1/42

Abstract:
Various embodiments can include artificial learning counter surveillance (ALCS) or self-protection surveillance systems (SPSS) and related methods. Apparatuses and methods can include non-destructive electro-optic interference or protection systems as well non-destructive directed energy systems, a control system, and an analysis system for determining an optical system of interest and generating degradation or disruption effects using various equipment items and machine learning systems. Additionally, methods are also provided for determining degree of severity of degradation or disruption based on threshold definitions related to ability to use the optical system of interest for one or more specified applications.
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