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公开(公告)号：US12056640B1
公开(公告)日：2024-08-06
申请号：US16903233
申请日：2020-06-16
Applicant: Amazon Technologies, Inc.
Inventor： Ohil Krishnamurthy Manyam , Jon Robert Ducrou , Anamika Sinha , Long Xuan Nguyen , Daniel Buchmueller , Ramanathan Palaniappan , Michel Leonard Goldstein , Raymond Wheekyun Lim
IPC: G06Q10/00 , G06Q10/0631 , G06Q10/08
CPC classification number: G06Q10/06316 , G06Q10/08
Abstract: This disclosure describes a system for determining an estimated user departure time from a materials handling facility. For example, a user may enter a materials handling facility to pick one or more items from the materials handling facility. Those items may be provided to an agent for processing, such as packing, while the user picks other items within the materials handling facility. To ensure that the items are processed in a timely manner and made available to the user when the user is ready to depart from the materials handling facility, the implementations discussed determine an anticipated user departure time and compare that time with an estimated processing time needed to process the items.
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公开(公告)号：US11829945B1
公开(公告)日：2023-11-28
申请号：US17304310
申请日：2021-06-17
Applicant: AMAZON TECHNOLOGIES, INC.
Inventor： Michel Leonard Goldstein , Ramanathan Palaniappan , Fan Sun , Liefeng Bo , Ohil Krishnamurthy Manyam , Navid Shiee , Gerard Guy Medioni
CPC classification number: G06Q10/087 , G06Q10/00 , G06K7/14 , G06Q20/00 , G06Q20/20 , G06Q20/208
Abstract: An event at a shelf, such as a user interacting with items on the shelf, may be detected using sensors associated with the shelf. Hypotheses to describe the event are generated based on the collected sensor data. However, hypotheses determined based on only one type of sensor data may not have a confidence value that is sufficiently reliable. Hypotheses derived from different sensor types may be combined to generate new hypotheses that have higher confidence values. For example, hypotheses based on image data may be combined with hypotheses based on weight data to produce hypotheses with higher confidence values that are sufficiently reliable. A hypothesis, from the set of combined hypotheses, having the highest confidence value may then be used to describe the interaction at the shelf, such as identifying the item and quantity of item the user interacted with during the event.
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公开(公告)号：US10942494B1
公开(公告)日：2021-03-09
申请号：US16164680
申请日：2018-10-18
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：US11042836B1
公开(公告)日：2021-06-22
申请号：US16435268
申请日：2019-06-07
Applicant: AMAZON TECHNOLOGIES, INC.
Inventor： Michel Leonard Goldstein , Ramanathan Palaniappan , Fan Sun , Liefeng Bo , Ohil Krishnamurthy Manyam , Navid Shiee , Gerard Guy Medioni
Abstract: Items may be stowed in an inventory location, such as a shelf. An interaction may take place where one of the items is picked from or placed on the inventory location. Sensor data can be acquired from two or more sensors, such as cameras or weight sensors, configured to collect such sensor data for the inventory location. Hypotheses to describe interactions at the inventory location may be determined using sensor data from each different sensor. However, the confidence value for such hypotheses may not be reliable. Fusion of sensor data may be performed where sets of hypotheses from the different sensors are combined and the resulting hypotheses are more accurate.
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公开(公告)号：US10322881B1
公开(公告)日：2019-06-18
申请号：US14583486
申请日：2014-12-26
Applicant: Amazon Technologies, Inc.
Inventor： Ohil Krishnamurthy Manyam , Jon Robert Ducrou , Anamika Sinha , Long Xuan Nguyen , Daniel Buchmueller , Ramanathan Palaniappan , Michel Leonard Goldstein , Raymond Wheekyun Lim
Abstract: The application describes a system and process for anticipating when a user will leave a selection area within a materials handling facility and determining if a notification requesting that the user provide a tote of picked items to a drop off location should be presented to the user. For example, a user may be asked to provide items picked from a selection area for processing, such as packing, while the user is picking items from other selection areas of a materials handling facility.
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Patent Agency Ranking
公开(公告)号：US10296814B1
公开(公告)日：2019-05-21
申请号：US13929763
申请日：2013-06-27
Applicant: Amazon Technologies, Inc.
Inventor： Dilip Kumar , Jon Robert Ducrou , Joseph Xavier , Ramanathan Palaniappan , Michel Leonard Goldstein , Michael Lee Brundage
Abstract: This disclosure describes a system for automatically updating item image information stored in an item images data store and used for processing captured images to identify items represented in those images. In one implementation, once an identity of an item has been verified, captured images of that item are associated with the item and stored in the item images data store. As a result, the item images data store is updated each time an image of the item is captured and the identity of the item is verified.
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公开(公告)号：US12111889B1
公开(公告)日：2024-10-08
申请号：US17350402
申请日：2021-06-17
Applicant: Amazon Technologies, Inc.
Inventor： Dilip Kumar , Jon Robert Ducrou , Joseph Xavier , Ramanathan Palaniappan , Michel Leonard Goldstein , Michael Lee Brundage
CPC classification number: G06F18/24 , G06V10/751
Abstract: This disclosure describes a system for automatically updating item image information stored in an item images data store and used for processing captured images to identify items represented in those images. In one implementation, once an identity of an item has been verified, captured images of that item are associated with the item and stored in the item images data store. As a result, the item images data store is updated each time an image of the item is captured and the identity of the item is verified.
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公开(公告)号：US11568632B1
公开(公告)日：2023-01-31
申请号：US17013207
申请日：2020-09-04
Applicant: Amazon Technologies, Inc.
Abstract: This disclosure describes a system for automatically identifying an item from among a variation of items of a same type. For example, an image may be processed and resulting item image information compared with stored item image information to determine a type of item represented in the image. If the matching stored item image information is part of a cluster, the item image information may then be compared with distinctive features associated with stored item image information of the cluster to determine the variation of the item represented in the received image.
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公开(公告)号：US10769488B1
公开(公告)日：2020-09-08
申请号：US16520861
申请日：2019-07-24
Applicant: Amazon Technologies, Inc.
IPC: G06K9/62
Abstract: This disclosure describes a system for automatically identifying an item from among a variation of items of a same type. For example, an image may be processed and resulting item image information compared with stored item image information to determine a type of item represented in the image. If the matching stored item image information is part of a cluster, the item image information may then be compared with distinctive features associated with stored item image information of the cluster to determine the variation of the item represented in the received image.
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公开(公告)号：US10366306B1
公开(公告)日：2019-07-30
申请号：US14031798
申请日：2013-09-19
Applicant: Amazon Technologies, Inc.
Abstract: This disclosure describes a system for automatically identifying an item from among a variation of items of a same type. For example, an image may be processed and resulting item image information compared with stored item image information to determine a type of item represented in the image. If the matching stored item image information is part of a cluster, the item image information may then be compared with distinctive features associated with stored item image information of the cluster to determine the variation of the item represented in the received image.
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