首页|'Training A Model To Identify Items Based On Image Data And Load Curve Data' in Patent Application Approval Process (USPTO 20240013185)
'Training A Model To Identify Items Based On Image Data And Load Curve Data' in Patent Application Approval Process (USPTO 20240013185)
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This patent application has not been assigned to a company or institution.The following quote was obtained by the news editors from the background information supplied bythe inventors: “This disclosure relates generally to computer-implemented item recognition and moreparticularly to classification of items in a storage area of a shopping cart using machine learning models.“Automated checkout systems allow a customer at a brick-and-mortar store to complete a checkoutprocess for items without having to go through a cashier. These systems may allow users to completea checkout process through a shopping cart that a user uses to carry items. Conventional automatedcheckout systems require users to scan a barcode on an item through a barcode scanner coupled to theshopping cart. However, these systems can be difficult for a user to use, and do not work well when labelscannot be affixed to an item (e.g., when purchasing bulk goods). It would be beneficial if the shoppingcart could generate an inventory of items in the storage area of the cart basket without the need for a userto scan the items.
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