Patents by Inventor Danny Guan

Danny Guan has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 12236628
    Abstract: Product spaces for containers of non-discretized items are defined by sets of points in three-dimensional space. When a customer breaches or contacts a product space established for a container of the non-discretized items, video feeds representing the product space are displayed to an associate in a web page or another user interface. By interacting with the user interface, the associate may view the video feeds and make a determination as to whether the customer received any of the non-discretized items from the container, and to confirm an identity of the customer accordingly.
    Type: Grant
    Filed: June 27, 2019
    Date of Patent: February 25, 2025
    Assignee: Amazon Technologies, Inc.
    Inventors: Saranya Karuppusamy, Ao Yan, Liem Dinh, Peiran Zhou, Sabarishkumar Iyer, Waqas Ahmed, Helene Causse, Danny Guan
  • Patent number: 12148218
    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.
    Type: Grant
    Filed: June 2, 2023
    Date of Patent: November 19, 2024
    Assignee: Amazon Technologies, Inc.
    Inventors: Ivan Stankovic, Joseph M Alyea, Jiajun Zhao, Kartik Muktinutalapati, Waqas Ahmed, Dilip Kumar, Danny Guan, Nishitkumar Ashokkumar Desai, Longlong Zhu
  • Patent number: 12002174
    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.
    Type: Grant
    Filed: March 3, 2023
    Date of Patent: June 4, 2024
    Assignee: Amazon Technologies, Inc.
    Inventors: Adrian Bell Barkus, Prathiban Mohanasundaram, Joseph M. Riley, Danny Guan, Waqas Syed Ahmed
  • Patent number: 11887051
    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.
    Type: Grant
    Filed: August 6, 2021
    Date of Patent: January 30, 2024
    Assignee: Amazon Technologies, Inc.
    Inventors: Danny Guan, Prathiban Mohanasundaram, Shannon Thomas, Mirko Mandic, Helene Causse, Brett Richard Taylor, Waqas Syed Ahmed, David Echevarria Ignacio
  • Publication number: 20230394831
    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.
    Type: Application
    Filed: June 2, 2023
    Publication date: December 7, 2023
    Inventors: Ivan Stankovic, Joseph M Alyea, Jiajun Zhao, Kartik Muktinutalapati, Waqas Ahmed, Dilip Kumar, Danny Guan, Nishitkumar Ashokkumar Desai, Longlong Zhu
  • Patent number: 11688170
    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.
    Type: Grant
    Filed: November 30, 2020
    Date of Patent: June 27, 2023
    Assignee: Amazon Technologies, Inc.
    Inventors: Ivan Stankovic, Joseph M Alyea, Jiajun Zhao, Kartik Muktinutalapati, Waqas Ahmed, Dilip Kumar, Danny Guan, Nishitkumar Ashokkumar Desai, Longlong Zhu
  • Patent number: 11657617
    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.
    Type: Grant
    Filed: February 14, 2022
    Date of Patent: May 23, 2023
    Assignee: AMAZON TECHNOLOGIES, INC.
    Inventors: 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
  • Patent number: 11600094
    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.
    Type: Grant
    Filed: March 17, 2021
    Date of Patent: March 7, 2023
    Assignee: Amazon Technologies, Inc.
    Inventors: Adrian Quark, Prathiban Mohanasundaram, Joseph M. Riley, Danny Guan, Waqas Syed Ahmed
  • Patent number: 11568361
    Abstract: This disclosure describes interactive data processing systems configured to facilitate selection by a human associate of tentative results generated by an automated system from sensor data. In one implementation, an event may take place in a materials handling facility. The event may comprise a pick or place of an item from an inventory location, movement of a user, and so forth. The sensor data associated with the event is processed by an automated system to determine tentative results associated with the event. In some situations, an uncertainty may exist as to which of the tentative results accurately reflects the actual event. The system may then determine whether the event is to be merged with one or more temporally and spatially proximate events and, if so, the sensor data and tentative results for the merged event is sent to a human associate. The associate may select one of the tentative results.
    Type: Grant
    Filed: June 17, 2021
    Date of Patent: January 31, 2023
    Assignee: Amazon Technologies, Inc.
    Inventors: Fei Xiong, Sabarishkumar Iyer, David Echevarria Ignacio, Sridhar Boyapati, Caylan Lee, Jacques Daniel Thomas, Waqas Syed Ahmed, Danny Guan
  • Patent number: 11494729
    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.
    Type: Grant
    Filed: March 27, 2017
    Date of Patent: November 8, 2022
    Assignee: Amazon Technologies, Inc.
    Inventors: Danny Guan, Prathiban Mohanasundaram, Shannon Thomas, Mirko Mandic, Helene Causse, Brett Richard Taylor, Waqas Syed Ahmed, David Echevarria Ignacio
  • Publication number: 20220171972
    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.
    Type: Application
    Filed: November 30, 2020
    Publication date: June 2, 2022
    Inventors: Ivan Stankovic, Joseph M. Alyea, Jiajun Zhao, Kartik Muktinutalapati, Waqas Ahmed, Dilip Kumar, Danny Guan, Nishitkumar Ashokkumar Desai, Longlong Zhu
  • Patent number: 11250272
    Abstract: In one or more implementations, groups of users enter a facility within a short time. Automated systems attempt to predict a grouping for various users, but the predicted grouping may not exhibit a confidence level above a certain threshold level. In such cases, a user interface is generated and presented to an associate to confirm the grouping of users. The user interface includes an image gallery and interface elements that allow for the selection of users into a group. The image gallery includes previously stored images of users, such as images obtained during a registration process or during a previous visit to the facility. In addition, the user interface also includes image data obtained from a camera at the facility depicting visitors at various times or locations. Once a grouping has been selected or confirmed by an associate, group data may be generated and stored for the group of users.
    Type: Grant
    Filed: October 11, 2019
    Date of Patent: February 15, 2022
    Assignee: AMAZON TECHNOLOGIES, INC.
    Inventors: 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
  • Patent number: 11238401
    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.
    Type: Grant
    Filed: March 27, 2017
    Date of Patent: February 1, 2022
    Assignee: Amazon Technologies, Inc.
    Inventors: Danny Guan, Prathiban Mohanasundaram, Shannon Thomas, Mirko Mandic, Helene Causse, Brett Richard Taylor, Waqas Syed Ahmed, David Echevarria Ignacio
  • Patent number: 11087271
    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.
    Type: Grant
    Filed: March 27, 2017
    Date of Patent: August 10, 2021
    Assignee: Amazon Technologies, Inc.
    Inventors: Danny Guan, Prathiban Mohanasundaram, Shannon Thomas, Mirko Mandic, Helene Causse, Brett Richard Taylor, Waqas Syed Ahmed, David Echevarria Ignacio
  • Patent number: 11042838
    Abstract: This disclosure describes interactive data processing systems configured to facilitate selection by a human associate of tentative results generated by an automated system from sensor data. In one implementation, an event may take place in a materials handling facility. The event may comprise a pick or place of an item from an inventory location, movement of a user, and so forth. The sensor data associated with the event is processed by an automated system to determine tentative results associated with the event. In some situations, an uncertainty may exist as to which of the tentative results accurately reflects the actual event. The system may then determine whether the event is to be merged with one or more temporally and spatially proximate events and, if so, the sensor data and tentative results for the merged event is sent to a human associate. The associate may select one of the tentative results.
    Type: Grant
    Filed: October 7, 2019
    Date of Patent: June 22, 2021
    Assignee: Amazon Technologies, Inc.
    Inventors: Fei Xiong, Sabarishkumar Iyer, David Echevarria Ignacio, Sridhar Boyapati, Caylan Lee, Jacques Daniel Thomas, Waqas Syed Ahmed, Danny Guan
  • Publication number: 20210182921
    Abstract: This disclosure describes, in part, systems for enabling physical retail stores and other facilities to implement automated-checkout techniques for the purchase of customizable and/or made-to-items items by customers of the stores and/or facilities. For example, the described systems may enable a retail store to implement technology where users are able to order customizable items from an ordering location, an inventory location, or an associate of the facility, and exit the store without performing manual checkout of the items. The systems described herein thus enable customized retail facilities, as opposed to a retail facility that allows automated-checkout only for prepackaged-type or otherwise non-customizable merchandise.
    Type: Application
    Filed: December 12, 2019
    Publication date: June 17, 2021
    Inventors: David Christopher Onkels, Ariel Dos Santos, Thomas Meilandt Mathiesen, Nir Charny, Waqas Syed Ahmed, Hoi Cheung Pang, Nishitkumar Ashokkumar Desai, Danny Guan, Ameet N. Vaswani, Shane Michael Wilson, Michael Vinod Zampani
  • Patent number: 10956726
    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.
    Type: Grant
    Filed: December 12, 2017
    Date of Patent: March 23, 2021
    Assignee: Amazon Technologies, Inc.
    Inventors: Adrian Quark, Prathiban Mohanasundaram, Joseph M. Riley, Danny Guan, Waqas Syed Ahmed
  • Patent number: 10579906
    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.
    Type: Grant
    Filed: July 30, 2018
    Date of Patent: March 3, 2020
    Assignee: Amazon Technologies, Inc.
    Inventors: Pragyana K. Mishra, David Joseph Rendleman, Jonathan Robert Dughi, Danny Guan
  • Patent number: 10445593
    Abstract: Users may enter a facility singly or in groups. A user interface may be presented to an associate that includes information obtained from sensors in the facility. The associate may utilize the information presented to determine if a user is alone, or to associate that user with a particular group of users. Input from the associate obtained from this user interface may then be used by a facility management system during operation to attribute the actions of the users to a particular account.
    Type: Grant
    Filed: June 27, 2016
    Date of Patent: October 15, 2019
    Assignee: AMAZON TECHNOLOGIES, INC.
    Inventors: 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
  • Patent number: 10438164
    Abstract: This disclosure describes interactive data processing systems configured to facilitate selection by a human associate of tentative results generated by an automated system from sensor data. In one implementation, an event may take place in a materials handling facility. The event may comprise a pick or place of an item from an inventory location, movement of a user, and so forth. The sensor data associated with the event is processed by an automated system to determine tentative results associated with the event. In some situations, an uncertainty may exist as to which of the tentative results accurately reflects the actual event. The system may then determine whether the event is to be merged with one or more temporally and spatially proximate events and, if so, the sensor data and tentative results for the merged event is sent to a human associate. The associate may select one of the tentative results.
    Type: Grant
    Filed: September 27, 2016
    Date of Patent: October 8, 2019
    Assignee: Amazon Technologies, Inc.
    Inventors: Fei Xiong, Sabarishkumar Iyer, David Echevarria Ignacio, Sridhar Boyapati, Caylan Echevarria Lee, Jacques Daniel Thomas, Waqas Syed Ahmed, Danny Guan