US 11,731,672 B2
Automated signal compliance monitoring and alerting system
Lawrence B. Jordan, Bolingbrook, IL (US); Brandon Schabell, Bolingbrook, IL (US); Bryan Weaver, Bolingbrook, IL (US); Pradeep Ganesan, Bolingbrook, IL (US); Roger Martinez, Bolingbrook, IL (US); Jagadeeswaran Rathinavel, Bolingbrook, IL (US); and Sergio E. Murillo Amaya, Bolingbrook, IL (US)
Assigned to Wi-Tronix, LLC, Bolingbrook, IL (US)
Filed by Wi-Tronix, LLC, Bolingbrook, IL (US)
Filed on Mar. 28, 2020, as Appl. No. 16/833,590.
Claims priority of provisional application 62/829,730, filed on Apr. 5, 2019.
Claims priority of provisional application 62/825,943, filed on Mar. 29, 2019.
Prior Publication US 2020/0307614 A1, Oct. 1, 2020
Int. Cl. H04W 4/12 (2009.01); H04L 67/06 (2022.01); B61L 15/00 (2006.01); B61L 27/57 (2022.01); B61L 23/04 (2006.01)
CPC B61L 15/0072 (2013.01) [H04L 67/06 (2013.01); H04W 4/12 (2013.01); B61L 23/041 (2013.01); B61L 27/57 (2022.01)] 24 Claims
OG exemplary drawing
 
1. A method for processing data from at least one mobile asset comprising the steps of:
receiving, using one of a data center remote from the at least one mobile asset and a data center onboard the at least one mobile asset, data based on at least one data signal from at least one of:
at least one data source onboard the at least one mobile asset; and
at least one data source remote from the at least one mobile asset;
determining, using a first artificial intelligence model of at least one of the data center onboard the at least one mobile asset and the data center remote from the at least one mobile asset, that the at least one mobile asset is at least one of a leading mobile asset and a controlling mobile asset on a condition that at least one trigger condition was detected, using the data center onboard the at least one mobile asset and the data center remote from the at least one mobile asset, based on the data;
obtaining, using at least one of the data center onboard the at least one mobile asset and the data center remote from the at least one mobile asset, video content from the at least one of the leading mobile asset and the controlling mobile asset, the video content comprising a configurable predetermined amount of the data collected for a configurable predetermined amount of time prior to the at least one trigger condition;
storing, using at least one of a database of the data center onboard the at least one mobile asset and a database of the data center remote from the at least one mobile asset, the video content;
determining, using a second artificial intelligence model of at least one of the data center onboard the at least one mobile asset and the data center remote from the at least one mobile asset, an episode based on the video content;
storing, using at least one of the database of the data center onboard the at least one mobile asset and the database of the data center remote from the at least one mobile asset, the episode; and
sending, using at least one of the data center onboard the at least one mobile asset and the data center remote from the at least one mobile asset, an electronic message to a predetermined amount of users.
 
13. A system for processing data from at least one mobile asset comprising:
at least one of at least one image measuring device, at least one video measuring device, at least one range measuring device, and at least one microphone;
at least one of a data center onboard the at least one mobile asset and a data center remote from the at least one mobile asset, the data center adapted to receive data based on the at least one data signal;
a data recorder onboard the at least one mobile asset adapted to receive at least one data signal from at least one of the at least one image measuring device, the at least one video measuring device, the at least one range measuring device, the at least one microphone, the at least one data source onboard the at least one mobile asset, and the at least one data source remote from the at least one mobile asset;
a first artificial intelligence model of at least one of the data center onboard the at least one mobile asset and the data center remote from the at least one mobile asset, the first artificial intelligence model adapted to determine that the at least one mobile asset is at least one of a leading mobile asset and controlling mobile asset on a condition that at least one trigger condition was detected by at least one of the data center onboard the at least one mobile asset and the data center remote from the at least one mobile asset based on the data;
a database of at least one of the data center onboard the at least one mobile asset and the data center remote from the at least one mobile asset, the database adapted to store video content obtained from at least one of the at least one image measuring device, the at least one video measuring device, the at least one range measuring device, the at least one microphone, the at least one data source onboard the at least one mobile asset, and the at least one data source remote from the at least one mobile asset; and
a second artificial intelligence model of at least one of the data center onboard the at least one mobile asset and the data center remote from the at least one mobile asset, the second artificial intelligence model adapted to determine an episode based on the video content.