System and method for selecting an item from a plurality of identified items based on a similarity value

A method for identifying an item, comprising:

• detecting a triggering event at a platform, wherein the triggering event corresponds to a placement of a first item on the platform;
• in response to detecting the triggering event, capturing a plurality of images of the first item on the platform using two or more cameras of a plurality of cameras, wherein each camera is configured to capture images of at least a portion of a platform;
• generating a cropped image of the first item for each of the images by editing the image to isolate at least a portion of the first item, wherein the cropped images correspond to the first item in the respective images;
• for each cropped image:
• generating a first encoded vector for the cropped image, wherein the first encoded vector describes one or more attributes of the first item based on the cropped image;
• comparing the first encoded vector to a plurality of encoded vectors in an encoded vector library, wherein the encoded vector library comprises a plurality of encoded vectors, wherein each encoded vector describes one or more attributes of a particular item and is associated with an item identifier for the particular item;
• selecting a second encoded vector from the encoded vector library that most closely matches with the first encoded vector, wherein a numerical similarity value indicates a degree of similarity between the first encoded vector and the selected second encoded vector;
• and
• identifying an item identifier from the encoded vector library that is associated with the second encoded vector;
• determining whether a same item identifier was identified for a majority of the cropped images;
• in response to the determining that the same item identifier was not identified for a majority of the cropped images:
• determining a first item identifier that was identified for a first cropped image based on a highest similarity value among a plurality of similarity values used to identify item identifiers for all the cropped images;
• determining a second item identifier that was identified for a second cropped image based on a next highest similarity value among the plurality of similarity values used to identify the item identifiers for all the cropped images;
• determining whether a difference between the highest similarity value and the second highest similarity value equals or exceeds a threshold;
• in response to determining that the difference between the highest similarity value and the second highest similarity value equals or exceeds a threshold, associating the first item identifier with the first item;
• and
• displaying an indicator of the first item identifier on a user interface device.

A non-transitory computer-readable medium storing instructions that when executed by one or more processors cause the one or more processors to:

• detect a triggering event at a platform, wherein the triggering event corresponds to a placement of a first item on the platform;
• in response to detecting the triggering event, capture a plurality of images of the first item on the platform using two or more cameras of a plurality of cameras, wherein each camera is configured to capture images of at least a portion of a platform;
• generate a cropped image of the first item for each of the images by editing the image to isolate at least a portion of the first item, wherein the cropped images correspond to the first item in the respective images;
• for each cropped image:
• generate a first encoded vector for the cropped image, wherein the first encoded vector describes one or more attributes of the first item based on the cropped image;
• compare the first encoded vector to a plurality of encoded vectors in an encoded vector library, wherein the encoded vector library comprises a plurality of encoded vectors, wherein each encoded vector describes one or more attributes of a particular item and is associated with an item identifier for the particular item;
• select a second encoded vector from the encoded vector library that most closely matches with the first encoded vector, wherein a numerical similarity value indicates a degree of similarity between the first encoded vector and the selected second encoded vector;
• and
• identify an item identifier from the encoded vector library that is associated with the second encoded vector;
• determine whether a same item identifier was identified for a majority of the cropped images;
• in response to the determining that the same item identifier was not identified for a majority of the cropped images:
• determine a first item identifier that was identified for a first cropped image based on a highest similarity value among a plurality of similarity values used to identify item identifiers for all the cropped images;
• determine a second item identifier that was identified for a second cropped image based on a next highest similarity value among the plurality of similarity values used to identify the item identifiers for all the cropped images;
• determine whether a difference between the highest similarity value and the second highest similarity value equals or exceeds a threshold;
• in response to determining that the difference between the highest similarity value and the second highest similarity value equals or exceeds a threshold, associate the first item identifier with the first item;
• and
• display an indicator of the first item identifier on a user interface device.