US 11,232,511 B1Granted

Computer vision based tracking of item utilization

AssigneeA9.com, Inc.

InventorsAndrea Zehr, Caroline Gehrig, Mark Scott Waldo, Stefan Vant

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Abstract

Various embodiments provide techniques for generating a virtual wardrobe in which wearing of items can be tracked through computer vision. In various embodiments, computer vision techniques can be used to identify individual clothing items from an image or video of a closet containing a collection of clothes, in which some of the items may be partially obscured, such as positioned behind other items, folded, at an odd viewing angle, shadowed, or the like. Through the present techniques, the clothing items may be automatically cataloged, and utilization of individual items can be tracked automatically based on additional image data of instances in which an item is worn. Various recommendations can then be made based on the attributes of the items in the virtual wardrobe or utilization of the items.

Claims19

Dependent claims

A system, comprising:

at least one computing device processor;
and
a memory device including instructions that, when executed by the at least one computing device processor, cause the system to:
receive first image data including a representation of a scene containing a collection of apparel items;
analyze the first image data to detect first representations of individual items of the collection of apparel items, the first representations representing partially obscured views of at least a portion of the collection of apparel items;
determine, using a neural network, first attributes of the individual items based on the respective first representations, wherein the neural network is trained to determine attributes for a detected item in an image;
generate an electronic catalog of the collection of apparel items, individuals of the apparel items associated with corresponding first attributes;
receive second image data including a second representation of one of the apparel items being worn;
determine, using the neural network, second attributes of the apparel item being worn, at least one of the second attributes being unable to be detected in the first image data;
identify the apparel item being worn as corresponding to one of the apparel items in the electronic catalog;
and
update the electronic catalog to associate the second attributes with the corresponding apparel item in the electronic catalog.

9 more elements

Dependencies are inferred from the claim text.