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公开(公告)号：US10282600B2
公开(公告)日：2019-05-07
申请号：US15413351
申请日：2017-01-23
Applicant: Amazon Technologies, Inc.
Inventor： James Christopher Curlander , Robert Alexander Colburn
IPC: G06K9/00 , G06K9/78 , G06T19/00 , G06T7/00 , G06T7/60 , G06T7/73 , G06T7/50 , G06T7/62 , G06T7/262
Abstract: Visual task feedback for workstations in a materials handling facility may be implemented. Image data of a workstation surface may be obtained from image sensors. The image data may be evaluated with regard to the performance of an item-handling task at the workstation. The evaluation of the image data may identify items located on the workstation surface, determine a current state of the item-handling task, or recognize an agent gesture at the workstation. Based, at least in part on the evaluation, one or more visual task cues may be selected to project onto the workstation surface. The projection of the selected visual task cues onto the workstation surface may then be directed.
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公开(公告)号：US10099381B1
公开(公告)日：2018-10-16
申请号：US15651446
申请日：2017-07-17
Applicant: AMAZON TECHNOLOGIES, INC.
Inventor： Pradeep Krishna Yarlagadda , Cédric Philippe Charles Jean Ghislain Archambeau , James Christopher Curlander , Michael Donoser , Ralf Herbrich , Barry James O'Brien , Marshall Friend Tappen
Abstract: Described are techniques for storing and retrieving items using a robotic device for moving items. Any combinations of image data depicting a manipulator interacting with an item, sensor data from sensors instrumenting the manipulator or item, item data regarding characteristics of the item, and constraint data relating to characteristics of the robotic device may be used to generate one or more configurations for the robotic device. The configurations may include points of contact and force vectors for contacting the item using the robotic device.
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公开(公告)号：US09871998B1
公开(公告)日：2018-01-16
申请号：US15419968
申请日：2017-01-30
Applicant: Amazon Technologies, Inc.
IPC: H04N7/18 , G06K9/00 , G08B13/196 , G06T7/292
CPC classification number: H04N7/181 , G06K9/00771 , G06K9/00785 , G06T7/292 , G06T7/70 , G06T2207/10016 , G06T2207/30232 , G08B13/19641 , G08B25/08 , H04N7/188
Abstract: A suitable imaging device for capturing images of an object or an area of interest may be automatically selected based on information regarding the locations and/or other operational properties of a plurality of imaging devices, and a location of the object or the area of interest. One or more geometric models of the fields of view of the imaging devices may be generated, and whether the object or the area of interest falls within one or more of the fields of view may be determined using such models. Where multiple imaging devices may include the object or the area of interest, within a field of view, the imaging device having the most suitable image, e.g., the largest or highest resolution image of the object or the area of interest, may be selected.
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公开(公告)号：US09864911B1
公开(公告)日：2018-01-09
申请号：US15645284
申请日：2017-07-10
Applicant: Amazon Technologies, Inc.
Inventor： James Christopher Curlander , Jules Cook Graybill , Udit Madan , Marshall Friend Tappen , Michael Ellsworth Bundy , David Daniel Glick
CPC classification number: G06K9/00671 , G01B11/02 , G01B11/22 , G06K7/10861 , G06Q10/08 , G06Q50/28 , G06T7/408 , G06T7/41 , G06T7/50 , G06T7/62 , G06T2207/30164 , G06T2207/30242
Abstract: Imaging data regarding an interior portion of a storage vessel may be obtained from an imaging device (e.g., a digital camera or depth sensor) and interpreted in order to identify an available volume within the storage vessel. Where the imaging data includes an image of an interior of the storage vessel, an area of one or more contiguous spaces of a rear face of the storage vessel may be identified from the image and multiplied by a depth of the storage vessel in order to estimate the available volume. Where the imaging data includes a depth profile of the interior, the depth profile may be processed in order to estimate the available volume. Once an available volume has been estimated, the capacity of the available volume to accommodate one or more additional items may be determined, and information regarding the capacity may be provided to a user.
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公开(公告)号：US09777502B2
公开(公告)日：2017-10-03
申请号：US14975618
申请日：2015-12-18
Applicant: Amazon Technologies, Inc.
Inventor： James Christopher Curlander , Asaf Gilboa-Amir , Lauren Marie Kisser , Robert Arthur Koch , Ricky Dean Welsh
CPC classification number: E04H14/00 , B64C39/024 , B64C2201/128 , B64C2201/20 , B64F1/025 , B64F1/10 , B64F1/222 , B64F1/32
Abstract: A multi-level (ML) fulfillment center is designed to accommodate landing and takeoff of unmanned aerial vehicles (UAVs), possibly in an urban setting, such as in a densely populated area. Unlike traditional fulfillment centers, the ML fulfillment centers may include many levels (i.e., stories, floors, etc.) as permitted under zoning regulations for respective areas. The fulfillment center may have one or more landing locations and one or more deployment locations to accommodate UAVs, which may delivery at least some of the items from the fulfillment center to locations associated with customers.
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Patent Agency Ranking
公开(公告)号：US09769392B1
公开(公告)日：2017-09-19
申请号：US14317318
申请日：2014-06-27
Applicant: Amazon Technologies, Inc.
Inventor： Robert Alexander Colburn , James Christopher Curlander
CPC classification number: H04N5/2354 , G03B15/05 , H04N5/2256 , H04N5/23222
Abstract: The high-intensity specular reflection of light from a surface of an object may create distortions in images of the object, in locations determined based on a perspective of an optical sensor. Multiple images of the object taken from different perspectives may include multiple specular artifacts in different locations, and a composite image of the object that omits such artifacts may be generated based on the multiple images. In particular, pixels of each of the images corresponding to the locations of the specular artifacts and having optimal intensities may be identified. The composite image may be generated based on the pixels having optimal intensities, and by excluding the pixels corresponding to the specular artifacts.
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公开(公告)号：US20170175413A1
公开(公告)日：2017-06-22
申请号：US14975618
申请日：2015-12-18
Applicant: Amazon Technologies, Inc.
Inventor： James Christopher Curlander , Asaf Gilboa-Amir , Lauren Marie Kisser , Robert Arthur Koch , Ricky Dean Welsh
CPC classification number: E04H14/00 , B64C39/024 , B64C2201/128 , B64C2201/20 , B64F1/025 , B64F1/10 , B64F1/222 , B64F1/32
Abstract: A multi-level (ML) fulfillment center is designed to accommodate landing and takeoff of unmanned aerial vehicles (UAVs), possibly in an urban setting, such as in a densely populated area. Unlike traditional fulfillment centers, the ML fulfillment centers may include many levels (i.e., stories, floors, etc.) as permitted under zoning regulations for respective areas. The fulfillment center may have one or more landing locations and one or more deployment locations to accommodate UAVs, which may delivery at least some of the items from the fulfillment center to locations associated with customers.
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公开(公告)号：US09686481B1
公开(公告)日：2017-06-20
申请号：US14215697
申请日：2014-03-17
Applicant: Amazon Technologies, Inc.
CPC classification number: H04N5/32 , G06T7/0044 , H04N7/18
Abstract: Radiographic imaging, or X-ray imaging, may be used to identify information regarding the contents of a container or other sealed object without having to open the container or the sealed object. One or more visual analyses of radiographic images may identify items within a container, or a condition of such items, as well as the portions or amounts of the contents of the container that correspond to air or dunnage. Additionally, a radiographic image may be projected onto an external surface of a container, or rendered within an augmented reality device or wearable computer device, thereby providing information regarding the contents of the container to a worker or other personnel within a vicinity of the container.
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公开(公告)号：US09565400B1
公开(公告)日：2017-02-07
申请号：US14137973
申请日：2013-12-20
Applicant: Amazon Technologies, Inc.
IPC: H04N7/18 , G06T7/00 , G06K9/00 , G08B13/196 , G01C11/02
CPC classification number: H04N7/181 , G06K9/00771 , G06K9/00785 , G06T7/292 , G06T7/70 , G06T2207/10016 , G06T2207/30232 , G08B13/19641 , G08B25/08 , H04N7/188
Abstract: A suitable imaging device for capturing images of an object or an area of interest may be automatically selected based on information regarding the locations and/or other operational properties of a plurality of imaging devices, and a location of the object or the area of interest. One or more geometric models of the fields of view of the imaging devices may be generated, and whether the object or the area of interest falls within one or more of the fields of view may be determined using such models. Where multiple imaging devices may include the object or the area of interest, within a field of view, the imaging device having the most suitable image, e.g., the largest or highest resolution image of the object or the area of interest, may be selected.
Abstract translation: 可以基于关于多个成像设备的位置和/或其他操作属性以及对象或感兴趣区域的位置的信息来自动选择用于捕获对象或感兴趣区域的图像的合适的成像设备。 可以生成成像装置的视野的一个或多个几何模型，并且可以使用这些模型来确定对象或感兴趣区域是否落入一个或多个视场内。 在多个成像装置可以包括物体或感兴趣区域的视场内，可以选择具有最合适图像的成像装置，例如对象或感兴趣区域的最大或最高分辨率图像。
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公开(公告)号：US09381645B1
公开(公告)日：2016-07-05
申请号：US14563609
申请日：2014-12-08
Applicant: AMAZON TECHNOLOGIES, INC.
Inventor： Pradeep Krishna Yarlagadda , Cédric Philippe Charles Jean Ghislain Archambeau , James Christopher Curlander , Michael Donoser , Ralf Herbrich , Barry James O'Brien , Marshall Friend Tappen
CPC classification number: B25J9/1697 , B25J9/1633 , B65G1/1378 , G05B19/42 , G05B2219/36184 , G05B2219/36442 , G05B2219/40116
Abstract: Described are techniques for storing and retrieving items using a robotic manipulator. Images depicting a human interacting with an item, sensor data from sensors instrumenting the human or item, data regarding physical characteristics of the item, and constraint data relating to the robotic manipulator may be used to generate one or more configurations for the robotic manipulator. Points of contact and force vectors of the configurations may correspond to the points of contact and force vectors determined from the images and sensor data.
Abstract translation: 描述了使用机器人操纵器存储和检索物品的技术。 可以使用描绘与物品相互作用的图像，来自测量人或物品的传感器的传感器数据，关于物品的物理特性的数据以及与机器人操纵器相关的约束数据，以产生机器人操纵器的一个或多个配置。 接触点和力矢量可以对应于从图像和传感器数据确定的接触点和力矢量。
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