Identifying risk using image analysis
AssigneeCapital One Services, LLC
InventorsChih-Hsiang CHOW, Steven DANG, Elizabeth FURLAN
Life of this patent
Estimating the term…
Abstract
Provided herein are system, apparatus, device, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for identifying risk using image analysis. In an embodiment, a server receives an image, including a vehicle from a camera. The server identifies an event occurring in the image. The server uses the event and the factors identify an attribute associated with the vehicle. The server generates a risk value for the vehicle based on the attribute.
Claims20
A computer-implemented method comprising:
- receiving, by one or more computing devices, information about a route on which a vehicle is traveling;
- retrieving, by the one or more computing devices, a set of travel histories specifying data describing trips the vehicle and other vehicles have made along the route and road incidents the vehicle and other vehicles have been involved in;
- determining, by the one or more computing devices, a frequency at which the route is traveled by the vehicle based on a travel history of the vehicle from the set of travel histories;
- identifying, by the one or more computing devices, each occurrence of a type of road incident on the route from the set of travel histories;
- determining, by the one or more computing devices, a route risk value based on a number of occurrences of the type of road incident being more than a threshold amount;
- determining, by the one or more computing devices, an attribute of the vehicle, based on the frequency at which the route is traveled by the vehicle and the route risk value.
A system comprising:
- a memory;
- a processor coupled to the memory, the processor configured to:
- receive information about a route on which a vehicle is traveling;
- retrieve a set of travel histories specifying data describing trips the vehicle and other vehicles have made along the route and road incidents the vehicle and other vehicles have been involved in;
- determine a frequency at which the route is traveled by the vehicle based on a travel history of the vehicle from the set of travel histories;
- identify each occurrence of a type of road incident on the route from the set of travel histories;
- determine a route risk value based on a number of occurrences of the type of road incident being more than a threshold amount;
- determine an attribute of the vehicle, based on the frequency at which the route is traveled by the vehicle and the route risk value.
A non-transitory computer readable medium having instructions stored thereon, execution of which, by one or more processors of a device, cause the one or more processors to perform operations comprising:
- receiving information about a route on which a vehicle is traveling;
- retrieving a set of travel histories specifying data describing trips the vehicle and other vehicles have made along the route and road incidents the vehicle and other vehicles have been involved in;
- determining a frequency at which the route is traveled by the vehicle based on a travel history of the vehicle from the set of travel histories;
- identifying each occurrence of a type of road incident on the route from the set of travel histories;
- determining a route risk value based on a number of occurrences of the type of road incident being more than a threshold amount;
- receiving an image including the vehicle;
- executing image analysis on the image to identify an event occurring in the image based on an object's relation to the vehicle in the image using a deep learning algorithm;
- determining an attribute of the vehicle, based on the frequency at which the route is traveled by the vehicle and the route risk value.
Dependencies are inferred from the claim text.