US 11,940,543 B2
Seamlessly tracking a water vessel using satellite and mobile data
Christopher Ryan Bennett, St. Petersburg, FL (US)
Assigned to i911 International, Inc., Hallandale Beach, FL (US)
Filed by i911 International, Inc., Hallandale Beach, FL (US)
Filed on May 4, 2023, as Appl. No. 18/143,333.
Application 18/143,333 is a continuation of application No. 17/881,223, filed on Aug. 4, 2022, granted, now 11,675,089.
Application 17/881,223 is a continuation of application No. 16/998,428, filed on Aug. 20, 2020, granted, now 11,448,773, issued on Sep. 20, 2022.
Prior Publication US 2023/0273325 A1, Aug. 31, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G01S 19/25 (2010.01); G05D 1/00 (2006.01); G06N 20/00 (2019.01); G08G 3/00 (2006.01); H04W 4/024 (2018.01); H04W 4/029 (2018.01); H04W 64/00 (2009.01); H04W 84/06 (2009.01); H04W 4/38 (2018.01)
CPC G01S 19/252 (2013.01) [G05D 1/0206 (2013.01); G06N 20/00 (2019.01); G08G 3/00 (2013.01); H04W 4/024 (2018.02); H04W 4/029 (2018.02); H04W 64/003 (2013.01); H04W 64/006 (2013.01); H04W 4/38 (2018.02); H04W 84/06 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
receiving a Global Positioning System (GPS) location of a water vessel, the GPS location of a water vessel based on using satellite data of the water vessel;
determining that the GPS location is within a threshold distance of a boundary of detectable mobile signal range;
responsive to determining that GPS location of a water vessel is within the threshold distance of the boundary of detectable mobile signal range, initiating monitoring for a mobile signal, the mobile signal emanating from a trajectory path of the water vessel and from a mobile device not registered with the water vessel;
responsive to detecting, during the monitoring, the mobile signal, associating the mobile device with the water vessel;
tracking the location of the water vessel based on the mobile signal, the tracking resulting in a tracked location;
inputting the tracked location, a scheduled location of the water vessel, and one or more environmental factors into a machine learning model, the machine learning model trained to output information corresponding to a suggested path to reach a destination based on its inputs; and
transmitting, to a responder device, the information corresponding to the suggested path.