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公开(公告)号：US11869065B1
公开(公告)日：2024-01-09
申请号：US16272420
申请日：2019-02-11
Applicant: Amazon Technologies, Inc.
Inventor： Jayakrishnan Kumar Eledath , Nikhil Chacko , Alessandro Bergamo , Kaustav Kundu , Marian Nasr Amin George , Jingjing Liu , Nishitkumar Ashokkumar Desai , Pahal Kamlesh Dalal , Keshav Nand Tripathi
IPC: G06Q30/0601 , G06V10/40 , G06V40/20 , G06F18/241
CPC classification number: G06Q30/0633 , G06F18/241 , G06V10/40 , G06V40/28
Abstract: This disclosure describes systems and techniques for identifying events that occur within an environment using image data captured at the environment. For example, one or more cameras may generate image data representative of a user interacting with an item on the shelf. This image data may be used to generate feature data associated with the user and the item, which may be analyzed by one or more classifiers for identifying an interaction between the user and the item. The systems and techniques may then generate interaction data, which in turn may be analyzed by one or more additional classifiers for identifying an event, such as the user picking a particular item from the shelf within the environment. Event data indicative of the event may then be used to update a virtual cart of the user.
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公开(公告)号：US11851279B1
公开(公告)日：2023-12-26
申请号：US14501794
申请日：2014-09-30
Applicant: Amazon Technologies, Inc.
Inventor： Ammar Chinoy , Sudarshan Narasimha Raghavan , Emilio Ian Maldonado , Daniel Bibireata , Nishitkumar Ashokkumar Desai
Abstract: Described is a system and method for collecting item and user information and utilizing that information to determine materials handling facility patterns, item trends and inventory location trends. User monitoring data for users located in a materials handling facility may include information identifying inventory locations approached by users, gaze directions of users, user dwell times, an identification of items picked by users, an identification of items placed by users, and/or in-transit times for items. This information may be aggregated and processed to determine materials handling facility patterns, item trends and/or inventory location trends.
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公开(公告)号：US20230394831A1
公开(公告)日：2023-12-07
申请号：US18205077
申请日：2023-06-02
Applicant: Amazon Technologies, Inc.
Inventor： Ivan Stankovic , Joseph M Alyea , Jiajun Zhao , Kartik Muktinutalapati , Waqas Ahmed , Dilip Kumar , Danny Guan , Nishitkumar Ashokkumar Desai , Longlong Zhu
CPC classification number: G06V20/52 , G06T7/70 , G06V10/25 , G06V40/107 , G06K7/1413 , G06Q30/0633 , G06F18/24 , G06F18/2163 , G06T2207/30196 , G06T2207/30232
Abstract: This disclosure is directed to techniques in which a first user in an environment scans visual indicia associated with an item, such as a barcode, before handing the item to a second user. One or more computing devices may receive an indication of the scan, retrieve image data of the interaction from a camera within the environment, identify the user that received the item, and update a virtual cart associated with the second user to indicate addition of the item.
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公开(公告)号：US11657617B1
公开(公告)日：2023-05-23
申请号：US17651027
申请日：2022-02-14
Applicant: AMAZON TECHNOLOGIES, INC.
Inventor： Thomas Meilandt Mathiesen , Maren Marie Costa , Nishitkumar Ashokkumar Desai , Christopher Richard Fescoe , Casey Louis Thurston , Jason Michael Famularo , Sudarshan Narasimha Raghavan , Waqas Ahmed , Danny Guan
IPC: G06V20/52 , G06F3/04817 , H04N7/18 , G06F3/04847 , G06V40/10
CPC classification number: G06V20/53 , G06F3/04817 , G06F3/04847 , G06V40/103 , H04N7/181 , G06T2200/24 , G06T2207/10016 , G06T2207/30196 , G06T2207/30232
Abstract: A system may generate image data of users within a facility. Such users may be part of a group that is unknown to the system. The system can predict group data for two or more users based on a resemblance or the users being within a threshold distance of each other. However, if a confidence level associated with the predicted group data is below a threshold value, the group data is deemed unreliable and assistance from an associate is deemed necessary. A user interface that includes a portion of the image data, information about the predicted group data, and other interface elements is presented to the associate via a display. Based on the input data received from the associate, the group data can be confirmed or rejected. If the group data is confirmed, an association is made between the users and a group identifier.
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公开(公告)号：US20220171972A1
公开(公告)日：2022-06-02
申请号：US17106755
申请日：2020-11-30
Applicant: Amazon Technologies, Inc.
Inventor： Ivan Stankovic , Joseph M. Alyea , Jiajun Zhao , Kartik Muktinutalapati , Waqas Ahmed , Dilip Kumar , Danny Guan , Nishitkumar Ashokkumar Desai , Longlong Zhu
Abstract: This disclosure is directed to techniques in which a first user in an environment scans visual indicia associated with an item, such as a barcode, before handing the item to a second user. One or more computing devices may receive an indication of the scan, retrieve image data of the interaction from a camera within the environment, identify the user that received the item, and update a virtual cart associated with the second user to indicate addition of the item.
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Patent Agency Ranking
公开(公告)号：US11301984B1
公开(公告)日：2022-04-12
申请号：US16022439
申请日：2018-06-28
Applicant: AMAZON TECHNOLOGIES, INC.
Inventor： Dilip Kumar , Nikhil Chacko , Nishitkumar Ashokkumar Desai , Jayakrishnan Kumar Eledath , Gopi Prashanth Gopal , Gerard Guy Medioni , Kushagra Srivastava
Abstract: Sensors in a facility obtain sensor data about a user's interaction with a fixture, such as a shelf. The sensor data may include images such as obtained from overhead cameras, weight changes from weight sensors at the shelf, and so forth. Based on the sensor data, one or more hypotheses that indicate the items and quantity may be determined and assessed. The hypotheses may be based on information such as the location of a user and where their hands are, weight changes, physical layout data indicative of where items are stowed, cart data indicative of what items are in the possession of the user, and so forth. A hypothesis having a greatest confidence value may be deemed to be representative of the user's interaction, and interaction data indicative of the item and quantity may be stored.
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公开(公告)号：US11250272B1
公开(公告)日：2022-02-15
申请号：US16599819
申请日：2019-10-11
Applicant: AMAZON TECHNOLOGIES, INC.
Inventor： Thomas Meilandt Mathiesen , Maren Marie Costa , Nishitkumar Ashokkumar Desai , Christopher Richard Fescoe , Casey Louis Thurston , Jason Michael Famularo , Sudarshan Narasimha Raghavan , Waqas Ahmed , Danny Guan
IPC: G06K9/00 , G06F3/04817 , H04N7/18 , G06F3/04847
Abstract: In one or more implementations, groups of users enter a facility within a short time. Automated systems attempt to predict a grouping for various users, but the predicted grouping may not exhibit a confidence level above a certain threshold level. In such cases, a user interface is generated and presented to an associate to confirm the grouping of users. The user interface includes an image gallery and interface elements that allow for the selection of users into a group. The image gallery includes previously stored images of users, such as images obtained during a registration process or during a previous visit to the facility. In addition, the user interface also includes image data obtained from a camera at the facility depicting visitors at various times or locations. Once a grouping has been selected or confirmed by an associate, group data may be generated and stored for the group of users.
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公开(公告)号：US20210182921A1
公开(公告)日：2021-06-17
申请号：US16712775
申请日：2019-12-12
Applicant: Amazon Technologies, Inc.
Inventor： David Christopher Onkels , Ariel Dos Santos , Thomas Meilandt Mathiesen , Nir Charny , Waqas Syed Ahmed , Hoi Cheung Pang , Nishitkumar Ashokkumar Desai , Danny Guan , Ameet N. Vaswani , Shane Michael Wilson , Michael Vinod Zampani
Abstract: This disclosure describes, in part, systems for enabling physical retail stores and other facilities to implement automated-checkout techniques for the purchase of customizable and/or made-to-items items by 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 order customizable items from an ordering location, an inventory location, or an associate of the facility, and exit the store without performing manual checkout of the items. The systems described herein thus enable customized retail facilities, as opposed to a retail facility that allows automated-checkout only for prepackaged-type or otherwise non-customizable merchandise.
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公开(公告)号：US10963835B1
公开(公告)日：2021-03-30
申请号：US16172377
申请日：2018-10-26
Applicant: Amazon Technologies, Inc.
Inventor： Frank Florian Liberato , Daniel Bibireata , Muralidhar Koka , Yasser Baseer Asmi , Nishitkumar Ashokkumar Desai
Abstract: Described is a multiple-camera system for use in capturing images of users within a materials handling facility and processing those images to monitor the movement of users. For large materials handling facilities, a large number of cameras may be required to monitor the facility. Processing of the data generated from a large number of cameras becomes difficult. The implementations described herein include a hierarchy that allows image data from any number of cameras within a materials handling facility to be processed without substantially increasing the processing time needed or sacrificing processing capabilities.
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公开(公告)号：US10552750B1
公开(公告)日：2020-02-04
申请号：US14581995
申请日：2014-12-23
Applicant: Amazon Technologies, Inc.
Inventor： Sudarshan Narasimha Raghavan , Emilio Ian Maldonado , David Allen Smith , Min Xu , Nishitkumar Ashokkumar Desai , Daniel Bibireata , Kevin Kar Wai Lai , Pahal Kamlesh Dalal
Abstract: Described is a multiple-camera system and process for disambiguating between multiple users and identifying which of the multiple users performed an event. For example, when an event is detected, user patterns near the location of the event are determined, along with touch points at the location of the event. User pattern orientation and/or arm trajectories between the event location and the user patterns may be determined and processed to disambiguate between multiple users and determine which user pattern is involved in the event.
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