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公开(公告)号：US11087271B1
公开(公告)日：2021-08-10
申请号：US15470105
申请日：2017-03-27
Applicant: Amazon Technologies, Inc.
Inventor： Danny Guan , Prathiban Mohanasundaram , Shannon Thomas , Mirko Mandic , Helene Causse , Brett Richard Taylor , Waqas Syed Ahmed , David Echevarria Ignacio
IPC: G06Q10/08 , G06K9/00 , G06K9/62 , G06F3/0482 , G06F3/0484
Abstract: Techniques for employing user interfaces to output information indicative of events occurring in an inventory facility, and receive feedback from a human regarding the events are described herein. In one implementation, an event may take place in an inventory facility, such as a customer taking an item from an inventory location, returning an item to an inventory location, and so forth. An automated system of an inventory management system may process sensor data collected by sensors in the inventory facility to determine details of the event. In some examples, the inventory management system is unable to determine with a high level of confidence what occurred during the event. The inventory management system may provide the sensor data to a human associate through an associate interface, and receive input regarding details of the event from the human associate through the associate interface.
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公开(公告)号：US20150379347A1
公开(公告)日：2015-12-31
申请号：US14315717
申请日：2014-06-26
Applicant: Amazon Technologies, Inc.
Inventor： Pragyana K. Mishra , Jules Cook Graybill , Danny Guan
IPC: G06K9/00
CPC classification number: G06K9/00577 , G06K9/00624 , G06K2209/19 , G06Q10/06 , G06Q10/08
Abstract: Visual cues may be provided for the purpose of triggering the performance of one or more actions associated with a given task. A visual cue may include one or more characters or other markings on any relevant surfaces, as well as naturally appearing edges, contours or outlines within an environment in which the visual cue is provided. When one or more visual cues appear within a field of view of an imaging device, and the visual cues are recognized as such, a task relating to the visual cues may be identified, and instructions for performing the task may be provided. The task may be dependent upon a context in which the visual cues are provided, such that a single visual cue may be associated with multiple tasks in different contexts, and the performance of the task may be confirmed based on imaging data or other relevant information.
Abstract translation: 可以提供视觉线索以用于触发与给定任务相关联的一个或多个动作的执行。 视觉提示可以包括任何相关表面上的一个或多个字符或其他标记，以及在其中提供视觉提示的环境中的自然出现的边缘，轮廓或轮廓。 当一个或多个视觉提示出现在成像设备的视野内时，并且视觉提示被识别时，可以识别与视觉提示相关的任务，并且可以提供用于执行任务的指令。 任务可以取决于提供视觉提示的上下文，使得单个视觉提示可以与不同上下文中的多个任务相关联，并且可以基于成像数据或其他相关信息确认任务的执行。
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公开(公告)号：US20250118080A1
公开(公告)日：2025-04-10
申请号：US18917289
申请日：2024-10-16
Applicant: Amazon Technologies, Inc.
Inventor： Ivan Stankovic , Joseph M. Alyea , Jiajun Zhao , Kartik Muktinutalapati , Waqas Ahmed , Dilip Kumar , Danny Guan , Nishitkumar Ashokkumar Desai , Longlong Zhu
Abstract: This disclosure is directed to techniques in which a first user in an environment scans visual indicia associated with an item, such as a barcode, before handing the item to a second user. One or more computing devices may receive an indication of the scan, retrieve image data of the interaction from a camera within the environment, identify the user that received the item, and update a virtual cart associated with the second user to indicate addition of the item.
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公开(公告)号：US11887051B1
公开(公告)日：2024-01-30
申请号：US17395898
申请日：2021-08-06
Applicant: Amazon Technologies, Inc.
Inventor： Danny Guan , Prathiban Mohanasundaram , Shannon Thomas , Mirko Mandic , Helene Causse , Brett Richard Taylor , Waqas Syed Ahmed , David Echevarria Ignacio
IPC: G06Q10/087 , G06V20/40 , G06V40/16 , G06F3/0482 , G06F3/0484 , G06F3/04842 , G06F18/22
CPC classification number: G06Q10/087 , G06F3/0482 , G06F3/04842 , G06F18/22 , G06V20/41 , G06V20/44 , G06V40/172
Abstract: Techniques for employing user interfaces to output information indicative of events occurring in an inventory facility, and receive feedback from a human regarding the events are described herein. In one implementation, an event may take place in an inventory facility, such as a customer taking an item from an inventory location, returning an item to an inventory location, and so forth. An automated system of an inventory management system may process sensor data collected by sensors in the inventory facility to determine details of the event. In some examples, the inventory management system is unable to determine with a high level of confidence what occurred during the event. The inventory management system may provide the sensor data to a human associate through an associate interface, and receive input regarding details of the event from the human associate through the associate interface.
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公开(公告)号：US11600094B1
公开(公告)日：2023-03-07
申请号：US17204228
申请日：2021-03-17
Applicant: Amazon Technologies, Inc.
Inventor： Adrian Quark , Prathiban Mohanasundaram , Joseph M. Riley , Danny Guan , Waqas Syed Ahmed
Abstract: Described are systems and methods for detecting objects using calibrated imaging devices and obfuscating, in real-time or near real time, portions of the video data to protect the privacy of operators represented in the video data. For example, a position of an operator within a fulfillment center may be determined or tracked in video data and the pixels representative of that operator may be obfuscated using pixilation and/or other techniques so that a reviewing agent that is viewing the video data cannot determine the identity of the operator. Such obfuscation may be performed in real-time or near real-time using automated processing. In addition, only portions of the video data may be obfuscated so that events (e.g., item picks, item place) and/or other objects represented in the video data are still viewable to the reviewing agent.
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Patent Agency Ranking
公开(公告)号：US10956726B1
公开(公告)日：2021-03-23
申请号：US15839399
申请日：2017-12-12
Applicant: Amazon Technologies, Inc.
Inventor： Adrian Quark , Prathiban Mohanasundaram , Joseph M. Riley , Danny Guan , Waqas Syed Ahmed
Abstract: Described are systems and methods for detecting objects using calibrated imaging devices and obfuscating, in real-time or near real time, portions of the video data to protect the privacy of operators represented in the video data. For example, a position of an operator within a fulfillment center may be determined or tracked in video data and the pixels representative of that operator may be obfuscated using pixilation and/or other techniques so that a reviewing agent that is viewing the video data cannot determine the identity of the operator. Such obfuscation may be performed in real-time or near real-time using automated processing. In addition, only portions of the video data may be obfuscated so that events (e.g., item picks, item place) and/or other objects represented in the video data are still viewable to the reviewing agent.
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公开(公告)号：US10282672B1
公开(公告)日：2019-05-07
申请号：US14316031
申请日：2014-06-26
Applicant: AMAZON TECHNOLOGIES, INC.
Inventor： Pragyana K. Mishra , Danny Guan
Abstract: A processing device determines a plurality of visual concepts for visual data based on at least one of visual entities in the visual data or feature-level attributes in the visual data, wherein the visual entities are based on the feature-level attributes, and wherein each of the plurality of visual concepts comprises a subject visual entity related to an object visual entity by a predicate. The processing device further determines one or more visual semantics for the visual data based on the plurality of visual concepts, wherein the one or more visual semantics define relationships between the plurality of visual concepts.
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公开(公告)号：US10185892B1
公开(公告)日：2019-01-22
申请号：US14291086
申请日：2014-05-30
Applicant: Amazon Technologies, Inc.
Inventor： Pragyana K. Mishra , David Joseph Rendleman , Jonathan Robert Dughi , Danny Guan
Abstract: Diagnostics may be performed on imaging devices such as digital cameras that are provided in large numbers, or mounted in arrays or networks, by providing imaging data captured from such devices to a machine learning system or classifier that has been trained to recognize anomalies based on imaging data. The machine learning system or classifier may be trained using a training set of imaging data previously captured by one or more imaging devices that has been labeled with regard to whether such imaging devices encountered any anomalies when the imaging data was captured, and if so, which anomalies were encountered. Additionally, a perceptual score which represents the quality of a given image or imaging data may be calculated and used to rank or define the image or imaging data in terms of quality, or determine whether the image or imaging data is suitable for its intended purpose.
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公开(公告)号：US20230394831A1
公开(公告)日：2023-12-07
申请号：US18205077
申请日：2023-06-02
Applicant: Amazon Technologies, Inc.
Inventor： Ivan Stankovic , Joseph M Alyea , Jiajun Zhao , Kartik Muktinutalapati , Waqas Ahmed , Dilip Kumar , Danny Guan , Nishitkumar Ashokkumar Desai , Longlong Zhu
CPC classification number: G06V20/52 , G06T7/70 , G06V10/25 , G06V40/107 , G06K7/1413 , G06Q30/0633 , G06F18/24 , G06F18/2163 , G06T2207/30196 , G06T2207/30232
Abstract: This disclosure is directed to techniques in which a first user in an environment scans visual indicia associated with an item, such as a barcode, before handing the item to a second user. One or more computing devices may receive an indication of the scan, retrieve image data of the interaction from a camera within the environment, identify the user that received the item, and update a virtual cart associated with the second user to indicate addition of the item.
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公开(公告)号：US11657617B1
公开(公告)日：2023-05-23
申请号：US17651027
申请日：2022-02-14
Applicant: AMAZON TECHNOLOGIES, INC.
Inventor： Thomas Meilandt Mathiesen , Maren Marie Costa , Nishitkumar Ashokkumar Desai , Christopher Richard Fescoe , Casey Louis Thurston , Jason Michael Famularo , Sudarshan Narasimha Raghavan , Waqas Ahmed , Danny Guan
IPC: G06V20/52 , G06F3/04817 , H04N7/18 , G06F3/04847 , G06V40/10
CPC classification number: G06V20/53 , G06F3/04817 , G06F3/04847 , G06V40/103 , H04N7/181 , G06T2200/24 , G06T2207/10016 , G06T2207/30196 , G06T2207/30232
Abstract: A system may generate image data of users within a facility. Such users may be part of a group that is unknown to the system. The system can predict group data for two or more users based on a resemblance or the users being within a threshold distance of each other. However, if a confidence level associated with the predicted group data is below a threshold value, the group data is deemed unreliable and assistance from an associate is deemed necessary. A user interface that includes a portion of the image data, information about the predicted group data, and other interface elements is presented to the associate via a display. Based on the input data received from the associate, the group data can be confirmed or rejected. If the group data is confirmed, an association is made between the users and a group identifier.
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