IDENTIFYING ITEMS USING CASCADING ALGORITHMS

    公开(公告)号:US20230069472A1

    公开(公告)日:2023-03-02

    申请号:US17898212

    申请日:2022-08-29

    Abstract: This disclosure is directed to using cascading algorithms to automatically identify items placed in a tote or other receptacle utilized by users in material handling facilities as the users move around the facilities. A tote may store a database or “gallery” of item representations for all of the items that are stored in the facility that a user may place in their totes. The tote may use multiple algorithms in a cascading manner to analyze the gallery of item representations in order to iteratively narrow the search space of item representations in the gallery to determine which of the items was placed in the tote by a user. Upon identifying the item placed in the tote, the tote may add an item identifier for the item to a virtual listing of item identifiers representing items previously placed in the tote.

    Identifying item barcodes
    2.
    发明授权

    公开(公告)号:US11328147B1

    公开(公告)日:2022-05-10

    申请号:US17213031

    申请日:2021-03-25

    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.

    Identifying item barcodes
    4.
    发明授权

    公开(公告)号:US10963659B1

    公开(公告)日:2021-03-30

    申请号:US16455030

    申请日:2019-06-27

    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.

Patent Agency Ranking