Patent ID: 11900433
Assignee: CAPITAL ONE SERVICES, LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 7:
8. A system comprising:
a mobile device configured to:
acquire an image of a vehicle;
generate an identifier for the vehicle using the acquired image; and
provide the identifier for the vehicle and the acquired image to a provider system;

wherein the provider system is configured to:
communicate with a listing system associated with a listing for the vehicle, wherein the listing includes a listing image of the vehicle and the listing system is distinct from the mobile device;
receive the acquired image from the mobile device and location information of the mobile device;
receive the listing for the vehicle from the listing system using the received location information;
update the listing for the vehicle, based on an age of the listing meeting a predetermined threshold, to include a view of the acquired image that is different from a view of the listing image; and
provide the updated listing to a user in response to a query;
wherein the provider system includes an identification application that is configured to assess a quality of the listing and acquired images via an object detection model by generating a quality score based on one or more parameters comprising at least one of:
a degree of focus of the received image;
a degree of brightness of the received image; or
a degree of contrast of the received image;

wherein determining the one or more parameters associated with the image quality for the received image comprises determining a degree of obstruction of the vehicle in the received image, the determining the degree of obstruction further comprising using the object detection model based on a neural network architecture applied to the received image to detect a presence of obstructions;
wherein the neural network architecture divides the received image into a plurality of regions, predicts bounding boxes and probabilities of each region, and weighs the bounding boxes by the predicted probabilities, wherein the bounding boxes bound the vehicle and the obstructions such that the object detection model detects the degree of obstruction.