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公开(公告)号：US11468681B1
公开(公告)日：2022-10-11
申请号：US16022221
申请日：2018-06-28
Applicant: Amazon Technologies, Inc.
Inventor： Dilip Kumar , Jaechul Kim , Kushagra Srivastava , Nishitkumar Ashokkumar Desai , Jayakrishnan Kumar Eledath , Gerard Guy Medioni , Daniel Bibireata
Abstract: Where an event is determined to have occurred at a location within a vicinity of a plurality of actors, imaging data captured using cameras having the location is processed using one or more machine learning systems or techniques operating on the cameras to determine which of the actors is most likely associated with the event. For each relevant pixel of each image captured by a camera, the camera returns a set of vectors extending to pixels of body parts of actors who are most likely to have been involved with an event occurring at the relevant pixel, along with a measure of confidence in the respective vectors. A server receives the sets of vectors from the cameras, determines which of the images depicted the event in a favorable view, based at least in part on the quality of such images, and selects one of the actors as associated with the event accordingly.
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公开(公告)号：US10679177B1
公开(公告)日：2020-06-09
申请号：US14668591
申请日：2015-03-25
Applicant: Amazon Technologies, Inc.
Inventor： Frank Florian Liberato, Jr. , Jaechul Kim , Daniel Bibireata , Chen Xu , Xiaofeng Ren
Abstract: Described is a multiple-camera system and process for detecting a user within a materials handling facility and tracking a position of the user as the user moves through the materials handling facility. In one implementation, a plurality of depth sensing cameras are positioned above a surface of the materials handling facility and oriented to obtain an overhead view of the surface of the materials handling facility, along with any objects (e.g., users) on the surface of the materials handling facility. The depth information from the cameras may be utilized to detect objects on the surface of the materials handling facility, track a movement of those objects and determine if those objects are users.
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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：US09912847B1
公开(公告)日：2018-03-06
申请号：US13626596
申请日：2012-09-25
Applicant: Amazon Technologies, Inc.
Inventor： Chang Yuan , Leo B. Baldwin , Geoffrey Scott Heller , Daniel Bibireata , Louis L. LeGrand, III , Christopher S. A. MacGregor , Charles P. Vaughn , Francislav P. Penov
CPC classification number: H04N5/225 , H04N5/23222 , H04N5/2351
Abstract: A user can capture an image of an object, using a computing device, to obtain information about that object. If a specular highlight (or other saturated region) is detected, the device can attempt to determine a location of a light source associated with the highlight. The device can then provide instructions as to a direction to move in order to reduce the presence of the specular highlight in subsequent images. Multiple images of the object can be captured and analyzed to generate a three-dimensional reconstruction of the environment, whereby a position of the light source can be determined. In other embodiments, movement of the specular reflections in response to movement of the device is used to determine a direction of the light source. In other embodiments, an image of the user is captured to determine the position of the light source based on shadows or reflections on the user.
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公开(公告)号：US12079770B1
公开(公告)日：2024-09-03
申请号：US18052182
申请日：2022-11-02
Applicant: Amazon Technologies, Inc.
Inventor： Hao Jiang , Yasser Baseer Asmi , Nishitkumar Ashokkumar Desai , Emilio Ian Maldonado , Ammar Chinoy , Daniel Bibireata , Sudarshan Narasimha Raghavan
IPC: G06Q10/087 , G06Q30/0601 , G06V10/40 , G06V20/10 , G06V20/52 , G06V40/10 , G06V40/20 , G06V20/40 , G06V40/16
CPC classification number: G06Q10/087 , G06Q30/0635 , G06V10/40 , G06V20/10 , G06V20/52 , G06V40/103 , G06V40/28 , G06V20/44 , G06V40/172
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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Patent Agency Ranking
公开(公告)号：US11494830B1
公开(公告)日：2022-11-08
申请号：US17212694
申请日：2021-03-25
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：US11468698B1
公开(公告)日：2022-10-11
申请号：US16712914
申请日：2019-12-12
Applicant: Amazon Technologies, Inc.
Inventor： Jaechul Kim , Nishitkumar Ashokkumar Desai , Jayakrishnan Kumar Eledath , Kartik Muktinutalapati , Shaonan Zhang , Hoi Cheung Pang , Dilip Kumar , Kushagra Srivastava , Gerard Guy Medioni , Daniel Bibireata
Abstract: Where an event is determined to have occurred at a location within a vicinity of a plurality of actors, imaging data captured using cameras having the location is processed using one or more machine learning systems or techniques operating on the cameras to determine which of the actors is most likely associated with the event. For each relevant pixel of each image captured by a camera, the camera returns a set of vectors extending to pixels of body parts of actors who are most likely to have been involved with an event occurring at the relevant pixel, along with a measure of confidence in the respective vectors. A server receives the vectors from the cameras, determines which of the images depicted the event in a favorable view, based at least in part on the quality of such images, and selects one of the actors as associated with the event accordingly.
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公开(公告)号：US11263795B1
公开(公告)日：2022-03-01
申请号：US16208320
申请日：2018-12-03
Applicant: AMAZON TECHNOLOGIES, INC.
Inventor： Nishitkumar Ashokkumar Desai , Frank Florian Liberato, Jr. , I-Hung Wang , Daniel Bibireata , Muralidhar Koka
Abstract: Described are systems and techniques to generate data for display to present visualizations of data acquired from sensors in a facility. The data visualizations may be used to develop, configure, administer, or otherwise support operation of the facility. In one implementation, the visualization may include a view incorporating aggregated images acquired from multiple cameras, depth data, tracking information about objects in the facility, and so forth. An analyst may use the data visualization to determine occurrence of an action in the facility such as a pick of an item, place of an item, what item was involved with an action, what user was involved with the action, and so forth. Based on the information presented by the data visualization, changes may be made to data processing parameters.
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公开(公告)号：US09007490B1
公开(公告)日：2015-04-14
申请号：US13829147
申请日：2013-03-14
Applicant: Amazon Technologies, Inc.
Inventor： Chang Yuan , Richard Howard Suplee, III , Daniel Bibireata , Honghong Peng , Leo Benedict Baldwin , Geoffrey Scott Heller , Wei Li
Abstract: Systems and approaches are provided for obtaining high quality image data from lower resolution and/or lower quality image data. An electronic device can be calibrated comprehensively prior to being provided to a user. The calibrated electronic device can be used to capture image data, image metadata, and other sensor data substantially simultaneously. Super-resolution processing can be applied to the captured image data to obtain higher quality image data than the captured image data, such as image data that corresponds to a higher resolution, has less blur, has less noise, has fewer photometric imperfections, and/or has fewer artifacts.
Abstract translation: 提供了用于从较低分辨率和/或较低质量图像数据获得高质量图像数据的系统和方法。 电子设备可以在被提供给用户之前被全面校准。 校准的电子设备可用于基本同时捕获图像数据，图像元数据和其他传感器数据。 超分辨率处理可以应用于捕捉的图像数据，以获得比捕获的图像数据更高质量的图像数据，诸如对应于较高分辨率的图像数据具有较少的模糊，具有较少噪声，较少的光度缺陷和/ 或者具有较少的伪影。
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公开(公告)号：US11482045B1
公开(公告)日：2022-10-25
申请号：US16799502
申请日：2020-02-24
Applicant: Amazon Technologies, Inc.
Inventor： Jaechul Kim , Nishitkumar Ashokkumar Desai , Jayakrishnan Kumar Eledath , Kartik Muktinutalapati , Shaonan Zhang , Hoi Cheung Pang , Dilip Kumar , Kushagra Srivastava , Gerard Guy Medioni , Daniel Bibireata
IPC: G06K9/00 , G06V40/20 , G06K9/62 , G06F17/16 , G06Q30/02 , G06N3/08 , G06N20/00 , G06V20/10 , G06V20/52
Abstract: Where an event is determined to have occurred at a location within a vicinity of a plurality of actors, imaging data captured using cameras having the location is processed using one or more machine learning systems or techniques operating on the cameras to determine which of the actors is most likely associated with the event. For each relevant pixel of each image captured by a camera, the camera returns a set of vectors extending to pixels of body parts of actors who are most likely to have been involved with an event occurring at the relevant pixel, along with a measure of confidence in the respective vectors. A server receives the vectors from the cameras, determines which of the images depicted the event in a favorable view, based at least in part on the quality of such images, and selects one of the actors as associated with the event accordingly.
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