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公开(公告)号:US20230069472A1
公开(公告)日:2023-03-02
申请号:US17898212
申请日:2022-08-29
Applicant: Amazon Technologies, Inc.
Inventor: Oded Maron , Jeremy Samuel De Bonet , Daniel Ron , Ejaz Ahmed , Mirko Ristivojevic , Jonathan Cohn
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.
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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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公开(公告)号:US11430044B1
公开(公告)日:2022-08-30
申请号:US16355598
申请日:2019-03-15
Applicant: Amazon Technologies, Inc.
Inventor: Oded Maron , Jeremy Samuel De Bonet , Daniel Ron , Ejaz Ahmed , Mirko Ristivojevic , Jonathan Cohn
IPC: G06Q30/06 , H04W4/33 , H04W4/02 , H04W4/38 , G06V10/40 , G06V10/75 , G06V20/00 , G06T7/60 , G06T7/90 , G06T7/50 , G06V30/10
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.
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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:US11922486B2
公开(公告)日:2024-03-05
申请号:US17898212
申请日:2022-08-29
Applicant: Amazon Technologies, Inc.
Inventor: Oded Maron , Jeremy Samuel De Bonet , Daniel Ron , Ejaz Ahmed , Mirko Ristivojevic , Jonathan Cohn
IPC: G06Q30/06 , G06Q30/0601 , G06V10/40 , G06V10/75 , G06V20/00 , G06V30/10 , H04W4/02 , H04W4/33 , H04W4/38 , G06T7/50 , G06T7/60 , G06T7/90
CPC classification number: G06Q30/0633 , G06V10/40 , G06V10/751 , G06V20/00 , G06V30/10 , H04W4/023 , H04W4/33 , H04W4/38 , G06T7/50 , G06T7/60 , G06T7/90
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.
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公开(公告)号:US11620822B1
公开(公告)日:2023-04-04
申请号:US17002403
申请日:2020-08-25
Applicant: Amazon Technologies, Inc.
Inventor: Daniel Ron , Ejaz Ahmed , Oded Maron , Shamil Abzalov , Michael Derryberry
IPC: G06V20/20 , G06Q50/28 , G06N20/00 , G06N5/04 , G06T7/70 , H04N5/225 , G06F3/0484 , G06Q30/0601
Abstract: This disclosure is directed to item-identifying carts that may generate and store image data of items being placed into, or removed from, the carts in the event that a cart is unable to recognize an item. For example, the cart may analyze frames of generated image data, representing item(s) being placed into or removed from the cart, to determine which one or more frames to store. If the cart is later unable to identify such an item, the cart may retrieve one or more of the stored frames, generate a user interface (UI) that includes these frame(s) and a request that a user operating the cart to help identify the item, and present the UI on a display of the cart.
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