Artificial intelligence (AI) models to improve image processing related to pre and post item deliveries
AssigneeAmazon Tecnologies, Inc.
InventorsZheshen Wang, Dimitris Papadimitriou, Mehran Kafai, Jarrod Sherwin, Anthony Sharma
Life of this patent
Estimating the term…
Abstract
Techniques for improving image processing related to item deliveries are described. In an example, a computer system receives an image showing a drop-off of an item, the item associated with a delivery to a delivery location. The computer system inputs the image to a first artificial intelligence (AI) model. The computer system receives first data comprising an indication of whether the drop-off is correct from the first AI model. The computer system causes a presentation of the indication at a device associated with the delivery of the item to the delivery location.
Claims20
One or more non-transitory computer-readable storage media storing instructions that, upon execution on a computer system, cause the computer system to perform operations comprising:
- inputting, to a first artificial intelligence (AI) model, a set of images showing item drop-offs at a delivery location, the first AI model trained for object detection based at least in part on training images showing historical item drop-offs at a plurality of delivery locations;
- receiving, from the first AI model, first data that identifies objects at the delivery location, relative positioning of the objects, and a correct drop-off location, the first data comprising a label that identifies a first object, a first indication of a location of the first object relative to a second object at the delivery location, and a second indication of the correct drop-off location;
- and
- causing, by at least sending the first data to a device associated with a delivery of an item to the delivery location, the device to present the label, the first indication, and the second indication at a user interface of the device.
A method implemented on a computer system, the method comprising:
- inputting, to a first artificial intelligence (AI) model, a set of images showing item drop-offs at a delivery location, the first AI model trained for object detection based at least in part on training images;
- receiving, from the first AI model, first data that identifies objects at the delivery location, relative positioning of the objects, and a correct drop-off location, the first data comprising a label that identifies a first object, a first indication of a location of the first object relative to a second object at the delivery location, and a second indication of the correct drop-off location;
- and
- causing, by at least providing the first data to a device associated with a delivery of an item to the delivery location, the device to present the label, the first indication, and the second indication at a user interface of the device.
A computer system comprising:
- one or more processors;
- and
- one or more memories storing computer-readable instructions that, upon execution by the one or more processors, configure the computer system to:
- input, to a first artificial intelligence (AI) model, a set of images showing item drop-offs at a delivery location, the first AI model trained for object detection based at least in part on training images showing historical item drop-offs at a plurality of delivery locations;
- receive, from the first AI model, first data that identifies objects at the delivery location, relative positioning of the objects, and a correct drop-off location, the first data comprising a label that identifies a first object, a first indication of a location of the first object relative to a second object at the delivery location, and a second indication of the correct drop-off location;
- and
- cause, by at least sending the first data to a device associated with a delivery of an item to the delivery location, the device to present the label, the first indication, and the second indication at a user interface of the device.
Dependencies are inferred from the claim text.