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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：US11412185B1
公开(公告)日：2022-08-09
申请号：US17128774
申请日：2020-12-21
Applicant: AMAZON TECHNOLOGIES, INC.
Inventor： Emilio Ian Maldonado , Daniel Bibireata , Nishitkumar Ashokkumar Desai , Yasser Baseer Asmi , Xiaofeng Ren , Jaechul Kim
Abstract: Sensors in a facility generate sensor data associated with a region of the facility, which can be used to determine a 3D location of an object in the facility. Some sensors may sense overlapping regions of the facility. For example, a first sensor may generate data associated with a first region of the facility, while a second sensor may generate data associated with a second region of the facility that partially overlaps the first region. Sensors may fail at times as determined from sensor output data or status data. In response to identifying a failed sensor, an undetected region corresponding to the failed sensor is identified, as well as a substitute sensor that partially senses the undetected region. Sensor data from the substitute sensor, such as 2D data, is acquired and used to estimate a 3D location of an object in the undetected region.
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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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公开(公告)号：US12211004B2
公开(公告)日：2025-01-28
申请号：US18064698
申请日：2022-12-12
Applicant: Amazon Technologies, Inc.
Inventor： Dilip Kumar , Elie Micah Kornfield , Alexander Clark Prater , Sridhar Boyapati , Xiaofeng Ren , Chang Yuan
IPC: G06Q10/00 , G06Q10/087 , G07G1/00
Abstract: This disclosure describes a system for tracking removal or placement of items at inventory locations with a materials handling facility. In some instances, a user may remove an item from an inventory location and the inventory management system may detect that removal and update a user item list associated with the user to include an item identifier representative of the removed item. Likewise, if the user places an item at an inventory location, the inventory management system may detect that placement and update the user item list to remove an item identifier representative of the placed item.
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Patent Agency Ranking
公开(公告)号：US11526840B2
公开(公告)日：2022-12-13
申请号：US16390966
申请日：2019-04-22
Applicant: Amazon Technologies, Inc.
Inventor： Dilip Kumar , Elie Micah Kornfield , Alexander Clark Prater , Sridhar Boyapati , Xiaofeng Ren , Chang Yuan
Abstract: This disclosure describes a system for tracking removal or placement of items at inventory locations with a materials handling facility. In some instances, a user may remove an item from an inventory location and the inventory management system may detect that removal and update a user item list associated with the user to include an item identifier representative of the removed item. Likewise, if the user places an item at an inventory location, the inventory management system may detect that placement and update the user item list to remove an item identifier representative of the placed item.
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公开(公告)号：US11034516B1
公开(公告)日：2021-06-15
申请号：US16510606
申请日：2019-07-12
Applicant: AMAZON TECHNOLOGIES, INC.
Inventor： Navid Shiee , Michel Leonard Goldstein , Ramanathan Palaniappan , Gopi Prashanth Gopal , Xiaofeng Ren , Ohil Krishnamurthy Manyam , Christopher Robert Towers , Yasser Baseer Asmi
Abstract: An item stowed at an inventory location may rest or be supported by a surface, such as a shelf, that includes an optical sensor array. The optical sensor array comprises a plurality of optical sensors that detect light intensity values. When a light source illuminates the item resting on the surface, a footprint or shadow is cast by the item onto the surface. Such a shadow is detected by the light intensity values at the optical sensors in the optical sensor array. Once the shadow is detected, information about the area, shape, and perimeter of the shadow can be determined and saved as footprint data for a single item. Such a process can be performed at intake of the item to the facility and later accessed to determine a quantity of the item on a shelf of a facility.
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公开(公告)号：US10657411B1
公开(公告)日：2020-05-19
申请号：US14225240
申请日：2014-03-25
Applicant: Amazon Technologies, Inc.
Inventor： Ohil Krishnamurthy Manyam , Minmin Chen , Liefeng Bo , Xiaofeng Ren , Dilip Kumar
IPC: G06K9/62
Abstract: This disclosure describes a system for utilizing multiple image processing techniques to identify an item represented in an image. In some implementations, one or more image processing algorithms may be utilized to process a received image to generate item image information and compare the item image information with stored item image information to identify the item. When a similarity score identifying the similarity between the item image information and at least one of the stored item image information is returned, a determination may be made as to whether the similarity score is high enough to confidently identify the item. If it is determined that the similarity score is high enough to confidently identify the item, the other algorithms may be terminated and the determined identity of the item returned.
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公开(公告)号：US11288539B1
公开(公告)日：2022-03-29
申请号：US16876762
申请日：2020-05-18
Applicant: Amazon Technologies, Inc.
Inventor： Ohil Krishnamurthy Manyam , Minmin Chen , Liefeng Bo , Xiaofeng Ren , Dilip Kumar
IPC: G06K9/62
Abstract: This disclosure describes a system for utilizing multiple image processing techniques to identify an item represented in an image. In some implementations, one or more image processing algorithms may be utilized to process a received image to generate item image information and compare the item image information with stored item image information to identify the item. When a similarity score identifying the similarity between the item image information and at least one of the stored item image information is returned, a determination may be made as to whether the similarity score is high enough to confidently identify the item. If it is determined that the similarity score is high enough to confidently identify the item, the other algorithms may be terminated and the determined identity of the item returned.
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公开(公告)号：US11080316B1
公开(公告)日：2021-08-03
申请号：US15607199
申请日：2017-05-26
Applicant: Amazon Technologies, Inc.
Inventor： Ranju Das , Wei Xia , Meng Wang , Xiaofeng Ren
IPC: G06F16/33 , G06F16/335 , G06F16/16 , G06F16/432
Abstract: People represented in multiple images can be recognized using accurate facial similarity metrics, where the accuracy can be further improved using contextual information. A set of models can be trained to process image data, and facial features can be extracted from a face region of an image and passed to the trained models. Resulting feature vectors can be concatenated and the dimensionality reduced to generate a highly accurate feature vector that is representative of the face in the image. The feature vector can be used to locate similar vectors in a multi-dimensional vector space, where similarity can be determined based at least in part upon the distance between the endpoints of those vectors in the vector space. Context information from the image can be used to adjust the similarity determination. Similar vectors can be clustered together such that the faces represented by those images are associated with the same person.
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