US 12,481,725 B2
Systems and methods for domain-specific enhancement of real-time models through edge-based learning
Anna E. Csorgo, Budapest (HU); Balint Magyar, Budapest (HU); Domonkos Huszar, Kistarcsa (HU); Mark Szabo, Budapest (HU); Istvan S. Horvath, Budapest (HU); Andras Horvath, Budapest (HU); and Csaba Rekeczky, Far Hills, NJ (US)
Assigned to Verizon Patent and Licensing Inc., Basking Ridge, NJ (US)
Filed by Verizon Patent and Licensing Inc., Basking Ridge, NJ (US)
Filed on Apr. 7, 2021, as Appl. No. 17/224,858.
Prior Publication US 2022/0327333 A1, Oct. 13, 2022
Int. Cl. G06N 20/00 (2019.01); G06F 18/214 (2023.01); G06F 18/241 (2023.01); G06V 20/58 (2022.01)
CPC G06F 18/241 (2023.01) [G06F 18/214 (2023.01); G06N 20/00 (2019.01); G06V 20/58 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A system, comprising:
a far cloud device configured to:
receive first sensor data associated with a first device that is associated with a particular geographical region;
utilize a first set of operations to identify a first set of classifications associated with the first sensor data;
generate or modify one or more models associated with the particular geographical region based on the first set of classifications;
select, from a plurality of Multi-Access/Mobile Edge Computing (“MEC”) devices, a particular MEC device that is associated with the particular geographical region; and
provide the one or more models to the selected particular MEC device;
wherein the particular MEC device is configured to:
receive second sensor data associated with a second device that is associated with the particular geographical region;
utilize the one or more models generated based on the first set of classifications and further utilize a second set of operations, that is different from the first set of operations, to identify a second set of classifications associated with the second sensor data; and
provide the second set of classifications to an autonomous or semi-autonomous vehicle, wherein operation of the autonomous or semi-autonomous vehicle is based on the second set of classifications.