Patent ID: 11954726
Assignee: UNITED SERVICES AUTOMOBILE ASSOCIATION (USAA)
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 11:
12. A non-transitory machine-readable medium having machine executable instructions stored thereon that, when executed by one or more processors, direct the one or more processors to perform a method comprising:
obtaining a set of client-specified characteristics for an object from a client device associated with a client;
processing image data captured by the client device to detect a first object and a second object;
retrieving a first set of characteristics for the first object and a second set of characteristics for the second object;
for each characteristic type in the first set of characteristics for the first object, determining whether the vehicle characteristic of the first set of vehicle characteristics is within a threshold range of a corresponding client-specified characteristic;
for each characteristic type in the second set of characteristics for the first object, determining whether the vehicle characteristic of the second set of vehicle characteristics is within a threshold range of a corresponding client-specified characteristic;
responsive to determining that a number of the first set of characteristics that are within the threshold range of corresponding client-specified characteristics exceed a threshold number, updating a display on the client device to overlay a computer-generated indication that the first object corresponds to the set of client-specified characteristics over a depiction of a real-world environment; and
responsive to determining that a number of the second set of characteristics that are within the threshold range of corresponding client-specified characteristics falls below the threshold number, updating the display on the client device to;
obfuscate the second object on the display of the client device, and
display a recommendation within an area of the display that contains the obfuscated second object, wherein the recommendation corresponds to the client-specified characteristics.