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公开(公告)号:US10963659B1
公开(公告)日:2021-03-30
申请号:US16455030
申请日:2019-06-27
Applicant: Amazon Technologies, Inc.
Inventor: Ejaz Ahmed , Oded Maron , Jeremy Samuel De Bonet , Daniel Ron , Sajjad Beygiharchegani
Abstract: This disclosure describes using trained classifiers and additional data to identify items placed into a tote. The techniques may use a first classifier on image data representing an item to determine a region associated with a barcode of the item and may use one or more second classifiers to analyze the region for determining a candidate barcode. The techniques may then determine whether the candidate barcode corresponds to the actual barcode of the item. If so, the techniques may update a virtual cart associated with a user account to indicate the acquisition of the item. If not, then the techniques may use the additional data for identifying the item. For example, the techniques determine a current location of a tote for determining items that are within a threshold distance of the location and may use this information, along with the candidate barcode, to identify the item placed into the tote.
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公开(公告)号:US11328147B1
公开(公告)日:2022-05-10
申请号:US17213031
申请日:2021-03-25
Applicant: Amazon Technologies, Inc.
Inventor: Ejaz Ahmed , Oded Maron , Jeremy S. De Bonet , Daniel Ron , Sajjad Beygiharchegani
Abstract: This disclosure describes using trained classifiers and additional data to identify items placed into a tote. The techniques may use a first classifier on image data representing an item to determine a region associated with a barcode of the item and may use one or more second classifiers to analyze the region for determining a candidate barcode. The techniques may then determine whether the candidate barcode corresponds to the actual barcode of the item. If so, the techniques may update a virtual cart associated with a user account to indicate the acquisition of the item. If not, then the techniques may use the additional data for identifying the item. For example, the techniques determine a current location of a tote for determining items that are within a threshold distance of the location and may use this information, along with the candidate barcode, to identify the item placed into the tote.
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