Abstract
News editors obtained the following quote from the background information suppli ed by the inventors:“Automated checkout systems allow a customer at a brick-and -mortar store to select and purchase itemsall without aid from a human attendan t. These automated checkout systems may automatically identifyitems that a user collects as the user collects them. For example, the automated checkout system mayidentify items in images captured by the user’s client device or by cameras attached to a shopping cartto identify items that the user has collected. In so me cases, the automated checkout systems may usemachine-learning models to iden tify the collected items. For example, the machine-learning models maybe traine d to identify an item based on a machine-readable label (e.g., a barcode or a QR code) affixedto the item. U.S. patent application Ser. No. 17/703,076, filed M ar. 24, 2022, describes examplemachine-learning models for decoding machine-rea dable labels based on images, the contents of whichare incorporated by referenc e.
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