Automated and periodic updating of item images data store

A computer-implemented method, comprising:

• processing a plurality of images of an item to determine, for each image of the plurality of images, an arrangement of a plurality of features of the item represented in the image;
• determining, based at least in part on a first comparison of a first arrangement of a first plurality of features of a first image of the plurality of images and stored item image information, a first correlation score indicative of a first similarity between the first arrangement of the first plurality of features of the first image and the stored item image information;
• determining, based at least in part on a second comparison of a second arrangement of a second plurality of features of a second image of the plurality of images and the stored item image information, a second correlation score indicative of a second similarity between the second arrangement of the second plurality of features of the second image and the stored item image information;
• determining that the first correlation score does not exceed a threshold;
• determining that the second correlation score does not exceed the threshold;
• determining, based at least in part on both the first correlation score and the second correlation score collectively, an identity of the item, wherein the identity of the item is associated with the stored item image information;
• and
• based at least in part on determining that the first correlation score does not exceed the threshold, storing at least one of the first image, a first item image information that includes the first arrangement of the first plurality of features, or an association between the item and the first item image information, such that a data set that includes the stored item image information is increased to include at least one of the first image, the first item image information, or the association such that when the item is later imaged for identification by the method, the ability of the method to identify the item based on the stored item image information is improved.

A computing system, comprising:

• one or more processors;
• and
• a memory storing program instructions that, when executed by the one or more processors, cause the one or more processors to at least:
• obtain a first image of an item;
• determine, based at least in part on a first processing of the first image, a first arrangement of a first plurality of features of the item as represented in the first image;
• compare the first arrangement of the first plurality of features with stored item image information to determine a first correlation score indicative of a first similarity between the first arrangement of the first plurality of features and the stored item image information;
• determine, based at least in part on a second processing of a second image of the item, a second arrangement of a second plurality of features of the item as represented in the second image;
• compare the second arrangement of the second plurality of features with the stored item image information to determine a second correlation score indicative of a second similarity between the second arrangement of the second plurality of features and the stored item image information;
• determine that the first correlation score does not exceed a threshold;
• determine that the second correlation score does not exceed the threshold;
• in response to determination that the first correlation score and the second correlation score do not exceed the threshold, determine that the first correlation score and the second correlation score collectively provide a confidence that the item can be identified;
• identify the item based at least in part on both the first correlation score and the second correlation score collectively;
• and
• based at least in part on the determination that the first correlation score does not exceed the threshold, store at least one of the first image, a first item image information that includes the first arrangement of the first plurality of features, or an association between the item and the first item image information, such that a data set that includes the stored item image information is increased to include at least one of the first image, the first item image information, or the association such that when the item is later imaged for identification by the computing system, the ability of the computing system to identify the item based on the stored item image information is improved.