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

Claim 10:
11. A system comprising:
at least one camera;
at least one sensor;
memory configured to store a database of local profiles, wherein facial image data for the local profiles is collected using the at least one camera;
at least one processing device; and
memory containing instructions configured to instruct the at least one processing device to:
collect, using the at least one camera, data from an interior of a vehicle;
determine, based on signaling from the camera, whether an occupant is present in the interior;
in response to determining that a first occupant is present in the interior, generate a first local profile for the first occupant, wherein the first local profile comprises facial image data associated with the first occupant;
store, in the database, the first local profile;
send, via wireless communication, the first local profile to a computing device, wherein the computing device is configured to link the first local profile to a remote profile stored by the computing device;
determine that a second occupant is present in the interior;
receive, from the computing device, configuration data, wherein the configuration data is generated by the computing device based on linking the first local profile to the remote profile and based on an output from a machine-learning model, whereby the first local profile and the remote profile are inputs to the machine-learning model, the machine-learning model is configured to identify a classification of the first occupant and that the second occupant conflicts with at least one restriction on the first occupant based on the classification, 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 first local profile; and
perform, based on the received configuration data, at least one action for the vehicle, wherein performing the at least one action comprises restricting operation of the vehicle by the first occupant based on the restriction;
wherein the classification indicates whether the first occupant is a driver, and the action includes selection of a predetermined manner of driving;
wherein the machine-learning model is trained using images of the first and second occupant gathered by the camera, and voice recordings of the first and second occupant collected by the at least one sensor;
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;
wherein the images and voice recordings are stored in a database used for training the machine-learning model.