Patent ID: 11868388
Assignee: CAPITAL ONE SERVICES, LLC
Field: Audio-visual technology (Electrical engineering)
Classification: CPC G  H | IPC G

Claim 17:
18. One or more non-transitory storage media storing instructions that, when executed by one or more processors, cause the one or more processors to perform steps comprising:
a training phase comprising:
receiving, for one or more aspects of a plurality of reference vehicles, a first training data comprising:
image data, and
an identification of the image data; and

training, using learned recognition of each aspect, and based on the image data, a machine learning model;
storing the trained machine learning model for an application phase;
receiving, for each of a plurality of exterior regions of the plurality of reference vehicles, a second training data comprising:
a first set of images showing a first level of damage to the aspect of the reference vehicles, and
a second set of images showing a second level of damage to the aspect of the reference vehicles;

training a classification model using the first set of images and the second set of images for each of the one or more aspects of the reference vehicles, wherein the classification model is trained to detect one or more instances of damage on an aspect of a vehicle different from the reference vehicles; and
storing the trained classification model for the application phase; and

the application phase comprising:
receiving vehicle-specific identifying information of the vehicle;
inputting vehicle-specific identifying information into the trained machine learning model to detect the one or more aspects of the vehicle,
determining image data corresponding to the one or more aspects of the vehicle;
determining, using the trained classification model, one or more instances of damage to the one or more aspects;
annotating, based on the determined one or more instances of damage, the image data corresponding to the aspect to indicate the one or more instances of damage;
receiving an input comprising further vehicle-specific information associated with the one or more instances of damage;
generating an interactive multimedia content associated with the vehicle, wherein the interactive multimedia content comprises the annotated image data indicating the one or more instances of damage and the further vehicle-specific information associated with the one or more instances of damage; and
sending, to a device for display and responsive to a request, the interactive multimedia content of the vehicle.