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公开(公告)号：US10417541B1
公开(公告)日：2019-09-17
申请号：US15387220
申请日：2016-12-21
Applicant: Amazon Technologies, Inc.
Inventor： Pragyana K. Mishra , Dushyant Goyal
Abstract: A reflected light identification (RLID) system uses light to communicate stored information across long distances with minimal interference. The RLID system may include a light source that directs an incident light signal to an RLID structure, which then transmits an encoded light signal to a sensor. The RLID system may include a passive RLID structure (i.e., a structure that does not include power source) such as an RLID reflection surface that includes layered reflective films that reflect the incident light signal back in multiple reflections that serially encodes data. The RLID system may also include an active RLID structure (i.e., a structure that includes power source) that uses energy harvesting to extract and accumulate power from an incident light signal, and then uses the harvested energy to transmit a return signal.
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公开(公告)号：US10322663B1
公开(公告)日：2019-06-18
申请号：US15188918
申请日：2016-06-21
Applicant: Amazon Technologies, Inc.
Inventor： Dushyant Goyal , Pragyana K. Mishra
Abstract: Systems may include a storage location and a bladder. The storage location may have a volume. The bladder may be selectively inflatable and deflatable to change an amount of the volume of the storage location that is occupied by the bladder. Fluid communication between the bladder and an inflation network may change an amount of pressurized fluid present in the bladder so as to change the amount of the volume of the storage location occupied by the bladder. For example, this may cause the bladder to press against an item in the storage location, such as to secure the item or to facilitate a determination of an amount of space that is occupied in the storage location and/or an amount of space that is available for receipt of additional items.
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公开(公告)号：US10306203B1
公开(公告)日：2019-05-28
申请号：US15191345
申请日：2016-06-23
Applicant: Amazon Technologies, Inc.
Inventor： Dushyant Goyal , Pragyana K. Mishra
IPC: H04N13/254 , H04N13/25 , H04N13/128 , H04N13/271 , H04N13/275
Abstract: Three-dimensional models of objects may be generated according to adaptive depth sensing techniques. An imaging device may include a projector that is configured to project light (e.g., infrared light) onto selected portions of a scene, and a depth imaging sensor configured to capture reflections of the projected light. The projector may be used to project points of light onto aspects of a scene having high degrees of variation of depth, color, texture, curvature or other attributes, where an increased number of depth values may be required to accurately depict a profile of an object within a scene, and to avoid projecting light onto aspects of the scene having low degrees of variation of depth, color, texture, curvature or such other attributes, where the profile of the object may be accurately represented by comparatively fewer depth values.
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Patent Agency Ranking
公开(公告)号：US10212306B1
公开(公告)日：2019-02-19
申请号：US15078764
申请日：2016-03-23
Applicant: Amazon Technologies, Inc.
Inventor： Dushyant Goyal , Pragyana K. Mishra
Abstract: Identifiers or references to supplemental information or content regarding images may be steganographically encoded into the images. The identifiers or references may be encoded into least significant bits or less significant bits of pixels within the image that may be selected on any basis. The identifiers or references may include alphanumeric characters, bar codes, symbols or other features. When an image is captured of an image having one or more identifiers or references steganographically encoded therein, the identifiers or references may be interpreted, and the supplemental information or content may be accessed and displayed on a computer display. In some embodiments, the supplemental information or content may identify and relate to a commercial product expressed in an image, and may include a link to one or more pages or functions for purchasing the commercial product.
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公开(公告)号：US10131051B1
公开(公告)日：2018-11-20
申请号：US15236225
申请日：2016-08-12
Applicant: Amazon Technologies, Inc.
Inventor： Dushyant Goyal , Pragyana K. Mishra
Abstract: A grasp management system is described. The grasp management system may be configured to determine a grasp strategy for a robotic manipulator. Information about an initial state of an object may be accessed. Information about a final state of the object may also be accessed. The final state may enable a subsequent interaction with the object. An anticipated pose space may be determined that enables the subsequent interaction with the object. An initial pose for the robotic manipulator may be determined based at least in part on the anticipated pose space. The initial pose may be used by the robotic manipulator to grasp the object.
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公开(公告)号：US20180247404A1
公开(公告)日：2018-08-30
申请号：US15443677
申请日：2017-02-27
Applicant: Amazon Technologies, Inc.
Inventor： Dushyant Goyal , Pragyana K. Mishra
CPC classification number: G06T7/0008 , G06K9/00771 , G06Q10/087 , G06T5/50 , G06T7/60 , G06T2207/10016 , G06T2207/20221 , G06T2207/30242
Abstract: Techniques for automated quality control of containers and items are disclosed. Images of a container can be successively captured over time. A consolidated image can be generated from the captured images. A non-image representation of the consolidated image can be determined. The non-image representation can be used to determine whether the container satisfies a condition. An imaging system can include a visual reference object or an object sensor used to detect entry of the container into a view volume of an electronic camera. A motion system can transport the container into the view volume. Some examples operate in an automated-warehouse environment.
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公开(公告)号：US20180057167A1
公开(公告)日：2018-03-01
申请号：US15793386
申请日：2017-10-25
Applicant: Amazon Technologies, Inc.
Inventor： Pragyana K. Mishra , Dushyant Goyal
CPC classification number: B64D1/12 , B64C39/024 , B64C2201/128 , B64C2201/141 , B64D47/08 , G05D1/105 , G06Q10/0832 , G08G5/0021 , G08G5/0034 , G08G5/0069 , G08G5/0086 , G08G5/0091 , H04B7/18506
Abstract: Directed fragmentation of an unmanned aerial vehicle (UAV) is described. In one embodiment, the UAV includes various components, such one or more motors, batteries, sensors, a housing, casing or shell, and a payload for delivery. Additionally, the UAV includes a controller. The controller determines a flight path and controls a flight operation of the UAV. During the flight operation, the controller develops a release timing and a release location for one or more of the components based on the flight path, the flight conditions, and terrain topology information, among other factors. The controller can also detect a disruption in the flight operation of the UAV and, in response, direct fragmentation of one or more of the components apart from the UAV. In that way, a controlled, directed fragmentation of the UAV can be accomplished upon any disruption to the flight operation of the UAV.
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公开(公告)号：US09549125B1
公开(公告)日：2017-01-17
申请号：US14842754
申请日：2015-09-01
Applicant: Amazon Technologies, Inc.
Inventor： Dushyant Goyal , Pragyana K. Mishra
IPC: H04N5/232
CPC classification number: H04N5/23212 , G02B7/36 , G06K9/3233 , H04N5/23206 , H04N5/23216 , H04N5/23229 , H04N5/23293 , H04N5/2356 , H04N7/183 , H04N21/4728
Abstract: An imaging device may be configured to monitor a field of view for various objects or events occurring therein. The imaging device may capture a plurality of images at various focal lengths, identify a region of interest including one or more semantic objects therein, and determine measures of the levels of blur or sharpness within the regions of interest of the images. Based on their respective focal lengths and measures of their respective levels of blur or sharpness, a focal length for capturing subsequent images with sufficient clarity may be predicted. The imaging device may be adjusted to capture images at the predicted focal length, and such images may be captured. Feedback for further adjustments to the imaging device may be identified by determining measures of the levels of blur or sharpness within the subsequently captured images.
Abstract translation: 成像设备可以被配置为监视其中发生的各种对象或事件的视场。 成像设备可以以各种焦距捕获多个图像，识别其中包括一个或多个语义对象的感兴趣区域，并且确定图像感兴趣区域内的模糊或清晰度的度量。 基于它们各自的焦距和其各自的模糊或清晰度的测量，可以预测用于以足够的清晰度捕获后续图像的焦距。 可以调整成像装置以捕获预测焦距的图像，并且可以捕获这些图像。 可以通过确定随后拍摄的图像内的模糊或清晰度水平的测量来识别用于对成像装置的进一步调整的反馈。
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