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公开(公告)号：US10733565B1
公开(公告)日：2020-08-04
申请号：US14502280
申请日：2014-09-30
Applicant: AMAZON TECHNOLOGIES, INC.
Inventor： Christopher Andrew Stephens , Alexander Clark Prater , Alexander Michael McNamara , Sridhar Boyapati , David Echevarria Ignacio , David William Bettis , Korwin Jon Smith , Kevin Alexander Lee , Aaron Craig Thompson , Gary Paolo Raden , Sudarshan Narasimha Raghavan , Dilip Kumar , Félix Joseph Étienne Pageau
Abstract: Described is an interactive data processing system configured to facilitate selection by a human associate of tentative values generated by an automated system from sensor data. In one implementation, an event may take place in a materials handling facility. The event may comprise a pick or place of an item from an inventory location, movement of a user, and so forth. The sensor data associated with the event is processed by an automated system to determine tentative values associated with the event. In some situations, an uncertainty may exist as to which of the tentative values accurately reflects the actual event. The sensor data and tentative values may be provided to a human associate. The associate may select one of the tentative values. The selected tentative value and the sensor data may be used to train the automated system.
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公开(公告)号：US11887051B1
公开(公告)日：2024-01-30
申请号：US17395898
申请日：2021-08-06
Applicant: Amazon Technologies, Inc.
Inventor： Danny Guan , Prathiban Mohanasundaram , Shannon Thomas , Mirko Mandic , Helene Causse , Brett Richard Taylor , Waqas Syed Ahmed , David Echevarria Ignacio
IPC: G06Q10/087 , G06V20/40 , G06V40/16 , G06F3/0482 , G06F3/0484 , G06F3/04842 , G06F18/22
CPC classification number: G06Q10/087 , G06F3/0482 , G06F3/04842 , G06F18/22 , G06V20/41 , G06V20/44 , G06V40/172
Abstract: Techniques for employing user interfaces to output information indicative of events occurring in an inventory facility, and receive feedback from a human regarding the events are described herein. In one implementation, an event may take place in an inventory facility, such as a customer taking an item from an inventory location, returning an item to an inventory location, and so forth. An automated system of an inventory management system may process sensor data collected by sensors in the inventory facility to determine details of the event. In some examples, the inventory management system is unable to determine with a high level of confidence what occurred during the event. The inventory management system may provide the sensor data to a human associate through an associate interface, and receive input regarding details of the event from the human associate through the associate interface.
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公开(公告)号：US11887046B1
公开(公告)日：2024-01-30
申请号：US16945289
申请日：2020-07-31
Applicant: AMAZON TECHNOLOGIES, INC.
Inventor： Christopher Andrew Stephens , Alexander Clark Prater , Alexander Michael McNamara , Sridhar Boyapati , David Echevarria Ignacio , David William Bettis , Korwin Jon Smith , Kevin Alexander Lee , Aaron Craig Thompson , Gary Paolo Raden , Sudarshan Narasimha Raghavan , Dilip Kumar , Félix Joseph Étienne Pageau
IPC: G06Q10/087 , G06Q10/08 , G06T7/00 , G06V40/10 , H04N7/18
CPC classification number: G06Q10/087 , G06Q10/08 , G06T7/0004 , G06V40/10 , H04N7/181 , G06T2207/30108 , G06T2207/30196
Abstract: A system may use sensor data from a facility to generate tentative values associated with an event, such as the identification of an item removed from a shelf of the facility. A confidence value associated with each of the tentative values may be less than a confidence threshold. In response, inquiry data seeking confirmation of a tentative value from an associate is generated and sent to one or more associates in the facility. Responses from the associates are collected to determine a selection of one of the tentative values. The selected tentative value is designated as output data for the system. Thereafter, the output data and the original sensor data are designated as training data, which can then be used to train or update machine learning systems. Subsequent use of the updated machine learning systems can yield more accurate results.
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公开(公告)号：US11042838B1
公开(公告)日：2021-06-22
申请号：US16595126
申请日：2019-10-07
Applicant: Amazon Technologies, Inc.
Inventor： Fei Xiong , Sabarishkumar Iyer , David Echevarria Ignacio , Sridhar Boyapati , Caylan Lee , Jacques Daniel Thomas , Waqas Syed Ahmed , Danny Guan
IPC: G06Q10/08 , H04N7/18 , G06K9/62 , G06K9/66 , G06K9/78 , G06F16/583 , G06F3/0484
Abstract: This disclosure describes interactive data processing systems configured to facilitate selection by a human associate of tentative results generated by an automated system from sensor data. In one implementation, an event may take place in a materials handling facility. The event may comprise a pick or place of an item from an inventory location, movement of a user, and so forth. The sensor data associated with the event is processed by an automated system to determine tentative results associated with the event. In some situations, an uncertainty may exist as to which of the tentative results accurately reflects the actual event. The system may then determine whether the event is to be merged with one or more temporally and spatially proximate events and, if so, the sensor data and tentative results for the merged event is sent to a human associate. The associate may select one of the tentative results.
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公开(公告)号：US10724895B1
公开(公告)日：2020-07-28
申请号：US14499890
申请日：2014-09-29
Applicant: AMAZON TECHNOLOGIES, INC.
Inventor： Alexander Michael McNamara , Sridhar Boyapati , Aaron Craig Thompson , David Echevarria Ignacio , David William Bettis , Korwin Jon Smith
Abstract: Described are systems and techniques configured to test sensors in a materials handling facility. In one implementation, an age of a user in the facility and a predicted path through the facility may be determined. Physical access controls may be initiated at inventory locations along the predicted path and adjacent to the user. The physical access controls may include deployment of physical barriers, activation of locks, and so forth. As another user who is permitted access approaches a particular inventory location, the physical access controls may be deactivated.
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Patent Agency Ranking
公开(公告)号：US10438164B1
公开(公告)日：2019-10-08
申请号：US15277696
申请日：2016-09-27
Applicant: Amazon Technologies, Inc.
Inventor： Fei Xiong , Sabarishkumar Iyer , David Echevarria Ignacio , Sridhar Boyapati , Caylan Echevarria Lee , Jacques Daniel Thomas , Waqas Syed Ahmed , Danny Guan
IPC: G06Q10/08 , H04N7/18 , G06K9/62 , G06K9/66 , G06K9/78 , G06F16/583 , G06F3/0484
Abstract: This disclosure describes interactive data processing systems configured to facilitate selection by a human associate of tentative results generated by an automated system from sensor data. In one implementation, an event may take place in a materials handling facility. The event may comprise a pick or place of an item from an inventory location, movement of a user, and so forth. The sensor data associated with the event is processed by an automated system to determine tentative results associated with the event. In some situations, an uncertainty may exist as to which of the tentative results accurately reflects the actual event. The system may then determine whether the event is to be merged with one or more temporally and spatially proximate events and, if so, the sensor data and tentative results for the merged event is sent to a human associate. The associate may select one of the tentative results.
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公开(公告)号：US12197703B1
公开(公告)日：2025-01-14
申请号：US17816137
申请日：2022-07-29
Applicant: AMAZON TECHNOLOGIES, INC.
Inventor： Alexander Michael McNamara , Sridhar Boyapati , Korwin Jon Smith , Aaron Craig Thompson , Ammar Chinoy , David Echevarria Ignacio
IPC: G06F3/0484 , G06Q10/087 , G06V40/16 , G06V40/70
Abstract: Users in a facility may move about and their authentication status may change accordingly. For example, upon entering a facility, a user may present identification data. At that point, the user is considered an authenticated user with persistent profile data. However, the identification of a user may not be presented at entry or may be unreliable, which causes the user to be considered an unauthenticated user with temporary profile data. In other scenarios, the identification of authenticated users may become unreliable based on their location or their proximity to other users. In cases where users are crowded at a location, the profile data for such users may be aggregated and may be based on common settings of the set of possible users in the group. A user interface may be presented to a user based on their designated profile data.
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公开(公告)号：US11568361B1
公开(公告)日：2023-01-31
申请号：US17350741
申请日：2021-06-17
Applicant: Amazon Technologies, Inc.
Inventor： Fei Xiong , Sabarishkumar Iyer , David Echevarria Ignacio , Sridhar Boyapati , Caylan Lee , Jacques Daniel Thomas , Waqas Syed Ahmed , Danny Guan
IPC: G06Q10/08 , H04N7/18 , G06K9/62 , G06F16/583 , G06V10/10 , G06V30/194 , G06F3/04842
Abstract: This disclosure describes interactive data processing systems configured to facilitate selection by a human associate of tentative results generated by an automated system from sensor data. In one implementation, an event may take place in a materials handling facility. The event may comprise a pick or place of an item from an inventory location, movement of a user, and so forth. The sensor data associated with the event is processed by an automated system to determine tentative results associated with the event. In some situations, an uncertainty may exist as to which of the tentative results accurately reflects the actual event. The system may then determine whether the event is to be merged with one or more temporally and spatially proximate events and, if so, the sensor data and tentative results for the merged event is sent to a human associate. The associate may select one of the tentative results.
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公开(公告)号：US11494729B1
公开(公告)日：2022-11-08
申请号：US15470301
申请日：2017-03-27
Applicant: Amazon Technologies, Inc.
Inventor： Danny Guan , Prathiban Mohanasundaram , Shannon Thomas , Mirko Mandic , Helene Causse , Brett Richard Taylor , Waqas Syed Ahmed , David Echevarria Ignacio
IPC: G06F17/00 , G06Q10/08 , G06Q50/28 , G06F3/04842 , G06F3/04847 , G08B13/24
Abstract: Techniques for employing user interfaces to output information indicative of events occurring in an inventory facility, and receive feedback from a human regarding the events are described herein. In one implementation, an event may take place in an inventory facility, such as a customer taking an item from an inventory location, returning an item to an inventory location, and so forth. An automated system of an inventory management system may process sensor data collected by sensors in the inventory facility to determine details of the event. In some examples, the inventory management system is unable to determine with a high level of confidence what occurred during the event. The inventory management system may provide the sensor data to a human associate through an associate interface, and receive input regarding details of the event from the human associate through the associate interface.
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公开(公告)号：US11262232B1
公开(公告)日：2022-03-01
申请号：US16938343
申请日：2020-07-24
Applicant: AMAZON TECHNOLOGIES, INC.
Inventor： Alexander Michael McNamara , Sridhar Boyapati , Aaron Craig Thompson , David Echevarria Ignacio , David William Bettis , Korwin Jon Smith
Abstract: Functionality of sensors on a shelf or other inventory location is tested by encouraging an interaction and determining if the output from the sensors on the shelf is consistent with the interaction. An interaction at the shelf can include, for example, a user adding or removing an item from the shelf. To encourage this type of interaction with the shelf or items therein, an announcement may be generated and presented to a user. The announcement may comprise an advertisement with some type of incentive for the user to add or remove an item from the shelf. Upon verifying such an interaction, sensor data before and after the interaction can be compared to generate diagnostic data for the sensor, which can indicate whether the sensor is operational or malfunctioning.
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