US 12,117,574 B2
Systems and methods for detecting mechanical disturbances using underwater optical cables
Valey Kamalov, Gainesville, FL (US); Mattia Cantono, San Clara, CA (US); Vijayanand Vusirikala, Palo Alto, CA (US); Massimiliano Salsi, Sunnyvale, CA (US); and Matthew Eldred Newland, San Jose, CA (US)
Assigned to Google LLC, Mountain View, CA (US)
Filed by Google LLC, Mountain View, CA (US)
Filed on Jun. 12, 2023, as Appl. No. 18/208,498.
Application 18/208,498 is a continuation of application No. 17/752,969, filed on May 25, 2022, granted, now 11,693,137.
Application 17/752,969 is a continuation of application No. 16/794,373, filed on Feb. 19, 2020, granted, now 11,385,365, issued on Jul. 12, 2022.
Prior Publication US 2023/0324573 A1, Oct. 12, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G01V 1/00 (2024.01); G01H 9/00 (2006.01); G01V 1/01 (2024.01); G01V 1/28 (2006.01); G01V 1/30 (2006.01)
CPC G01V 1/01 (2024.01) [G01H 9/004 (2013.01); G01V 1/282 (2013.01); G01V 1/307 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method of evaluating undersea seismic activity comprising:
receiving, by one or more processors, one or more optical signals from one or more stations located along an underwater optical route, each of the one or more optical signals having a polarization state that can be represented as one or more time series over a duration of time, each of the one or more time series corresponding to a respective Stokes parameter; and
detecting, by the one or more processors, occurrence of a seismic event using a machine learning model based on an analysis of the one or more time series of the polarization states of the one or more optical signals, wherein the machine learning model is trained on prior examples of seismic activity.