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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:US12205408B1
公开(公告)日:2025-01-21
申请号:US17335595
申请日:2021-06-01
Applicant: Amazon Technologies, Inc.
Inventor: Venkataraman Santhanam , Ejaz Ahmed , Gregory Hager
IPC: G06V40/20 , G06F18/214 , G06Q10/087 , G06V20/52 , G06V40/10
Abstract: This disclosure describes, in part, techniques for identifying interactions and events associated with inventory locations. For instance, system(s) may receive image data representing a user interacting with an inventory location. The system(s) may then generate heatmap data indicating a first portion of the image data that represents the inventory location and feature data indicating a second portion of the image data that represents the user. Next, the system(s) may analyze the heatmap data with respect to the feature data to determine that the second portion of the image data corresponds to the first portion of the image data. As such, the system(s) may determine that the user is interacting with the inventory location. Based on the determination, the system(s) may analyze the first portion of the image data to identify an event that occurs at the inventory location, such as the user removing an item.
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公开(公告)号:US12190639B1
公开(公告)日:2025-01-07
申请号:US18504814
申请日:2023-11-08
Applicant: Amazon Technologies, Inc.
Inventor: Oded Maron , Jeremy S De Bonet , Mirko Ristivojevic , Ejaz Ahmed , Kilho Son
Abstract: This disclosure is directed to, in part, a processing pipeline for detecting predefined activity using image data, identifying an item-of-interest and a location of the item-of-interest across frames of the image data, determining a trajectory of the item-of-interest, and determining an identifier of the item-of-interest and an action taken with respect to the item-of-interest. The processing pipeline may utilize one or more trained classifiers and, in some instances, additional data to identify items that are placed into or removed from a tote (e.g., basket, cart, or other receptacle) by users in material handling facilities as the users move around the material handling facilities.
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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:US12100218B1
公开(公告)日:2024-09-24
申请号:US17486658
申请日:2021-09-27
Applicant: Amazon Technologies, Inc.
Inventor: Hue Tuan Thi , Xiaoxia Shi , Jiajun Zhao , Yuzhou Feng , Ejaz Ahmed , Chris Broaddus , Longlong Zhu , Austen Groener
IPC: G06T7/70 , G06F16/27 , G06F18/22 , G06F18/24 , G06Q10/087 , G06T7/292 , G06V10/22 , G06V20/52 , G06V40/20 , H04N23/90 , G06Q20/18 , G06Q30/0601 , G07C9/38
CPC classification number: G06V20/53 , G06F16/27 , G06F18/22 , G06F18/24 , G06Q10/087 , G06T7/292 , G06T7/70 , G06V10/225 , G06V40/20 , H04N23/90 , G06Q20/18 , G06Q30/0633 , G06T2207/30196 , G06T2207/30232 , G07C9/38
Abstract: This disclosure describes, in part, systems for enabling physical retail stores and other facilities to implement both automated- and manual-checkout techniques for customers of the stores and/or facilities. For example, the described systems may enable a retail store to implement technology where users are able to pick items from shelves and other inventory locations and exit the store without performing manual checkout of the items, as well as technology to allow users to pay for their items using point-of-sale (POS) and/or other manual-checkout techniques. The systems described herein also generate associations between users and carts within the stores to prevent fraudulent transactions within these hybrid environments.
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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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公开(公告)号:US11599737B1
公开(公告)日:2023-03-07
申请号:US17225407
申请日:2021-04-08
Applicant: AMAZON TECHNOLOGIES, INC.
Inventor: Ejaz Ahmed , Jeremy Samuel De Bonet , Oded Maron , Mirko Ristivojevic
Abstract: A tag with sufficient variability is generated. The tag facilitates quick location and processing within a facility. During generation, a matrix representative of a possible tag may be tested for sufficient variability. A two-dimensional matrix representing the possible tag may include different bit values at different positions. A variability metric of the matrix is performed to check the variability between adjacent elements of the matrix. This variability metric of the matrix is then compared against a variability threshold value. If the variability metric of the matrix falls below the threshold value, the matrix is flagged as unusable. If the variability metric of the matrix exceeds the threshold value, the matrix can be used to generate a tag with sufficient variability. Once generated, the tag can be presented and affixed to an item or object to help identify and locate the item within the facility.
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公开(公告)号:US10346659B1
公开(公告)日:2019-07-09
申请号:US15927561
申请日:2018-03-21
Applicant: AMAZON TECHNOLOGIES, INC.
Inventor: Ejaz Ahmed , Jeremy Samuel De Bonet , Oded Maron , Mirko Ristivojevic
Abstract: Tags comprising marks arranged in a predetermined pattern are applied to an item. The marks are made with an ink that fluoresces under infrared (IR) light. A camera with a filter acquires an image of the light emitted by the fluorescence of the ink. This image is processed to determine a portion of the image in which the tag is located. Once located, that portion is processed to rectify and align the tag. This rectified image is then processed to read out tag data that is encoded by the arrangement of marks. The tag data may then be used to identify the item, designate shipping information, and so forth.
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公开(公告)号:US12060099B1
公开(公告)日:2024-08-13
申请号:US17521633
申请日:2021-11-08
Applicant: Amazon Technologies, Inc.
Inventor: Gregory Hager , Andre David Brown , Ejaz Ahmed , Gopi Prashanth Gopal
IPC: B62B5/00 , B62B3/14 , G06Q10/087 , G06Q30/0601
CPC classification number: B62B5/0096 , B62B3/1424 , G06Q10/087 , G06Q30/0633 , G06Q30/0641 , B62B2203/50 , B62B2501/00
Abstract: This disclosure describes, in part, a mobile apparatus for identifying items within a facility using an omnidirectional imaging system. For instance, the mobile apparatus may include a main frame, a chassis attached to the main frame, a basket that attaches to the chassis in order to prevent the basket from contacting the main frame, and an omnidirectional imaging system providing image data in and around the mobile apparatus. A user may place item(s) within a receptacle of the basket. The mobile apparatus may further include a handlebar module attached to the main frame, the handlebar module including the omnidirectional imaging system and a computing system for identifying items and events in and around the cart.
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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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