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公开(公告)号：US12056658B1
公开(公告)日：2024-08-06
申请号：US17195439
申请日：2021-03-08
Applicant: Amazon Technologies, Inc.
Inventor： Sudheer Babu Ramoji , Avishkar Misra , Yasser Baseer Asmi , Ohil Krishnamurthy Manyam , Gopi Prashanth Gopal , Long Xuan Nguyen , Sudarshan Narasimha Raghavan , Ramanathan Palaniappan , Nadya Dhalla
IPC: G06Q10/087
CPC classification number: G06Q10/087
Abstract: This disclosure describes an item drop location for placing items that have been picked from an inventory location within a material handling facility but have not yet been transitioned from the materials handling facility and a return location for returning items that have been transitioned from the materials handling facility. Likewise, described is a system and method for identifying an item placed at a drop location or an item placed at a return location, processing the placed item and providing confirmation to a user that placed the item and facilitating a return of the item or a removal of the item from an item identifier list associated with the user.
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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：US10528638B1
公开(公告)日：2020-01-07
申请号：US16512125
申请日：2019-07-15
Applicant: Amazon Technologies, Inc.
Inventor： Dilip Kumar , Ammar Chinoy , Sudarshan Narasimha Raghavan , Shrivatsan Vasudhevan , Jin Dong Kim
Abstract: This disclosure describes a system for disambiguating between multiple potential users that may have performed an item action (e.g., item removal or item placement) at an inventory location. For example, if there are three picking agents (users) standing near an inventory location and one of the agents removes an item (item action) from the inventory location, the example systems and processes described herein may utilize various inputs to disambiguate between the users and determine which of the potential users performed the item action.
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公开(公告)号：US10291862B1
公开(公告)日：2019-05-14
申请号：US14581986
申请日：2014-12-23
Applicant: Amazon Technologies, Inc.
Inventor： Frank Florian Liberato , Sudarshan Narasimha Raghavan , Emilio Ian Maldonado , Muralidhar Koka , Ammar Chinoy , Daniel Bibireata , Yasser Baseer Asmi , Hao Jiang , Jaechul Kim , 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：US10068139B1
公开(公告)日：2018-09-04
申请号：US14578021
申请日：2014-12-19
Applicant: Amazon Technologies, Inc.
Inventor： Xiaofeng Ren , Avishkar Misra , Ohil Krishnamurthy Manyam , Liefeng Bo , Sudarshan Narasimha Raghavan , Christopher Robert Towers , Gopi Prashanth Gopal , Yasser Baseer Asmi
CPC classification number: G06K9/00771 , G06K9/6202 , G06K9/6212 , G06K9/6218 , G06Q10/087 , H04L67/10
Abstract: Described is a system for counting stacked items using image analysis. In one implementation, an image of an inventory location with stacked items is obtained and processed to determine the number of items stacked at the inventory location. In some instances, the item closest to the camera that obtains the image may be the only item viewable in the image. Using image analysis, such as depth mapping or Histogram of Oriented Gradients (HOG) algorithms, the distance of the item from the camera and the shelf of the inventory location can be determined. Using this information, and known dimension information for the item, a count of the number of items stacked at an inventory location may be determined.
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Patent Agency Ranking
公开(公告)号：US11977359B1
公开(公告)日：2024-05-07
申请号：US17191135
申请日：2021-03-03
Applicant: Amazon Technologies, Inc.
Inventor： Sudarshan Narasimha Raghavan , Michel Leonard Goldstein , Fan Sun , Ramanathan Palaniappan
Abstract: Described is a method for determining when to transition devices between different states based on determined potential activity in an area near the devices. When the potential for activity near an input device is below a threshold, the device is maintained in an inactive state. When the potential for activity near the device exceeds the threshold, the device is transitioned to an active state before the potential activity can occur near the device. Likewise, when the device is in an active state, the implementations described herein provide the ability to determine when to begin and end transmission of data from the device to a remote computing resource for processing. For example, obtained video may be processed locally to determine if an activity is occurring. If an activity is occurring, relevant data is sent to a remote computing resource to determine if an action has been performed during the activity.
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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：US10949801B1
公开(公告)日：2021-03-16
申请号：US16386154
申请日：2019-04-16
Applicant: Amazon Technologies, Inc.
Inventor： Sudheer Babu Ramoji , Avishkar Misra , Yasser Baseer Asmi , Ohil Krishnamurthy Manyam , Gopi Prashanth Gopal , Long Xuan Nguyen , Sudarshan Narasimha Raghavan , Ramanathan Palaniappan , Nadya Dhalla
IPC: G06Q10/08
Abstract: This disclosure describes an item drop location for placing items that have been picked from an inventory location within a material handling facility but have not yet been transitioned from the materials handling facility and a return location for returning items that have been transitioned from the materials handling facility. Likewise, described is a system and method for identifying an item placed at a drop location or an item placed at a return location, processing the placed item and providing confirmation to a user that placed the item and facilitating a return of the item or a removal of the item from an item identifier list associated with the user.
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公开(公告)号：US10438277B1
公开(公告)日：2019-10-08
申请号：US14582000
申请日：2014-12-23
Applicant: Amazon Technologies, Inc.
Inventor： Hao Jiang , Yasser Baseer Asmi , Nishitkumar Ashokkumar Desai , Emilio Ian Maldonado , Ammar Chinoy , Daniel Bibireata , Sudarshan Narasimha Raghavan
Abstract: Described is a multiple-camera system and process for determining an item involved in an event. For example, when a user picks an item or places an item at an inventory location, image information for the item may be obtained and processed to identify the item involved in the event and associate that item with the user.
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公开(公告)号：US10169660B1
公开(公告)日：2019-01-01
申请号：US14578021
申请日：2014-12-19
Applicant: Amazon Technologies, Inc.
Inventor： Xiaofeng Ren , Avishkar Misra , Ohil Krishnamurthy Manyam , Liefeng Bo , Sudarshan Narasimha Raghavan , Christopher Robert Towers , Gopi Prashanth Gopal , Yasser Baseer Asmi
Abstract: Described is a system for counting stacked items using image analysis. In one implementation, an image of an inventory location with stacked items is obtained and processed to determine the number of items stacked at the inventory location. In some instances, the item closest to the camera that obtains the image may be the only item viewable in the image. Using image analysis, such as depth mapping or Histogram of Oriented Gradients (HOG) algorithms, the distance of the item from the camera and the shelf of the inventory location can be determined. Using this information, and known dimension information for the item, a count of the number of items stacked at an inventory location may be determined.
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