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

Claim 0:
1. A system comprising:
at least one processor; and
at least one non-transitory computer-readable medium containing instructions that, when executed by the at least one processor, cause the system to perform operations comprising:
communicating with a listing system to update a listing for a vehicle, wherein the listing includes a listing image of the vehicle;
receiving, from an identification application executing on a mobile device distinct from the listing system, an image of the vehicle and location information of the mobile device;
identifying the listing using the received location information;
updating the listing for the vehicle, based on an age of the listing meeting a predetermined threshold, to include a view of the received image that is different from a view of the listing image; and
providing the updated listing to a user in response to a query;
wherein the identification application is configured to assess a quality of the listing and received 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.