Predictive parcel damage identification, analysis, and mitigation
AssigneeUnited Parcel Service of America, Inc.
InventorAsheesh Goja
Life of this patent
Estimating the term…
Abstract
A first parcel digital image associated with a first interaction point is received. The first parcel digital image may be associated with a first parcel being transported to or from the first interaction point. At least a second parcel digital image associated with at least a second interaction point is further be received. The second parcel digital image may be associated with the first parcel being transported to or from the second interaction point. A first parcel damage analysis is automatically generated based at least in part on analyzing the first parcel digital image and the at least second parcel image. The damage analysis can include determining whether the first parcel is damaged above or below a threshold.
Claims20
An apparatus for predictive parcel damage mitigation in a parcel transit network, the parcel transit network comprising an origin interaction point, a plurality of parcel interaction points, and a destination interaction point, the apparatus comprising at least one processor and at least one memory including computer program code, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to:
- receive a first plurality of parcel digital images from the origin interaction point, the first plurality of parcel digital images associated with a parcel being transported from the origin interaction point to the destination interaction point via the plurality of parcel interaction points;
- receive a second plurality of parcel digital images of the parcel from a first parcel interaction point of the plurality of parcel interaction points, the first plurality of parcel digital images and the second plurality of parcel digital images representing a plurality of fields of view of the parcel;
- and
- programmatically generate a first parcel damage analysis based upon the first plurality of parcel digital images, the second plurality of parcel digital images, and a machine learning model.
A computer-implemented method comprising:
- receiving a first parcel digital image associated with a first interaction point, the first parcel digital image associated with a first parcel being transported to or from the first interaction point;
- receiving at least a second parcel digital image associated with at least a second interaction point, the second parcel digital image associated with the first parcel being transported to or from the second interaction point;
- and
- automatically generate a first parcel damage analysis based at least in part on analyzing the first parcel digital image and the at least second parcel image, the damage analysis includes determining whether the first parcel is damaged above or below a threshold.
A system comprising:
- at least one first computing device having at least one processor;
- and
- at least one computer readable storage medium having program instructions embodied therewith, the program instructions readable or executable by the at least one processor to cause the system to:
- receive at least a first parcel digital image captured from one or more physical locations within a parcel transit network, the first parcel digital image includes a representation of a first parcel, the parcel transit network corresponds to a plurality of physical locations traversed by the first parcel along one or more carrier routes;
- in response to analyzing the at least first parcel digital image, determining a likelihood associated with a damage of the first parcel;
- and
- based at least on the determining of the likelihood associated with the damage, providing a signal to a second computing device, the providing causes the computing device to be modified or a condition to be modified.
Dependencies are inferred from the claim text.