Patent ID: 11961312
Assignee: MICRON TECHNOLOGY, INC.
Field: Transport (Mechanical engineering)
Classification: CPC G  B | IPC B  G

Claim 0:
1. A method comprising:
receiving signaling from one or more sensors configured to monitor characteristics of an interior of a vehicle, the one or more sensors comprising at least one of an image sensor, a temperature sensor, a humidity sensor, or a pressure sensor, or any combination thereof, wherein the sensors collect data regarding a sound, appearance, or activity of an occupant in the interior of the vehicle;
determining, based on the received signaling, whether an occupant is present in the interior of the vehicle;
in response to determining that a first occupant is present in the interior, generating a local profile for the first occupant;
determining that a second occupant is present in the interior;
sending, via wireless communication, the local profile to a computing device, wherein the computing device is configured to link the local profile to a remote profile stored by the computing device, wherein the remote profile contains data regarding an association between the first occupant and the second occupant;
receiving, by the vehicle from the computing device, configuration data, wherein the configuration data is generated by the computing device based on the association between the first occupant and the second occupant, based on linking the local profile to the remote profile, and based on an output from a machine-learning model, whereby the local profile and the remote profile are inputs to the machine-learning model, the remote profile is stored on a social network server and the machine-learning model uses data from the social network server including at least one social network account to augment data in the local profile; and
performing, based on the received configuration data, at least one action for the vehicle, wherein performing the at least one action comprises configuring a user interface of a control panel for the first and second occupant, and wherein the user interface enables both the first and second occupant to adjust at least one first function of an entertainment system of the vehicle;
wherein the machine-learning model is trained to identify a classification of the first occupant;
wherein the second occupant conflicts with at least one restriction on the first occupant based on the classification;
wherein the machine-learning model is further trained using images and voice recordings of the first and second occupant gathered by the sensors;
wherein the images and voice recordings of the first and second occupant used for the training of the machine-learning model are captured under different lighting conditions and for different clothing of the first and second occupant.