Packaging identification for age-restricted items
AssigneeToshiba Global Commerce Solutions, Inc.
InventorsYeshai BOUSKILA, Andrei KHAITAS, Evgeny SHEVTSOV
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Abstract
The present disclosure provides methods and apparatus for identifying packaging for age-restricted products at self-checkout devices. A self-checkout device receives a barcode of an item, and compares the barcode with a database that comprises barcode data associated with one or more age-restricted products. The self-checkout device then captures an image of the item using a camera, and performs image comparison by providing the captured image to a trained machine learning model as an input. In response to at least one of the barcode comparison or the image comparison indicating a match with an age-restricted product, the self-checkout device triggers a manual verification for the item
Claims20
A method comprising:
- receiving, by a self-checkout device, a barcode of an item;
- comparing the barcode with a database, wherein the database comprises barcode data associated with one or more age-restricted products;
- capturing an image of the item using a camera;
- performing image comparison by providing the captured image to a trained machine learning model as an input, comprising:
- extracting one or more visual features from the captured image, and
- generating a classification output indicating whether the item matches
- an age-restricted product based on the extracted visual features;
- and
- in response to at least one of the barcode comparison or the image comparison indicating a match with an age-restricted product, triggering a manual verification for the item.
A system, comprising:
- one or more memories collectively containing one or more programs;
- and
- one or more processors, wherein the one or more processors are configured to, individually or collectively, perform an operation comprising:
- receiving, by a self-checkout device, a barcode of an item;
- comparing the barcode with a database, wherein the database comprises barcode data associated with one or more age-restricted products;
- capturing an image of the item using a camera;
- performing image comparison by providing the captured image to a trained machine learning model as an input, comprising:
- extracting one or more visual features from the captured image, and
- generating a classification output indicating whether the item matches an age-restricted product based on the extracted visual features;
- and
- in response to at least one of the barcode comparison or the image comparison indicating a match with an age-restricted product, triggering a manual verification for the item.
One or more computer-readable media containing, in any combination, computer program code that, when executed by a computer system, performs an operation comprising:
- receiving, by a self-checkout device, a barcode of an item;
- comparing the barcode with a database, wherein the database comprises barcode data associated with one or more age-restricted products;
- capturing an image of the item using a camera;
- performing image comparison by providing the captured image to a trained machine learning model as an input, comprising:
- extracting one or more visual features from the captured image, and
- generating a classification output indicating whether the item matches
- an age-restricted product based on the extracted visual features;
- and
- in response to at least one of the barcode comparison or the image comparison indicating a match with an age-restricted product, triggering a manual verification for the item.
Dependencies are inferred from the claim text.