Patents by Inventor Lingle Guo

Lingle Guo 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: 10957030
    Abstract: System and methods for solder void analysis with an optical inspection component are described, including a plurality of optical fibers longitudinally disposed through a glass tube such that ends of the optical fibers are exposed from corresponding ends of the glass tube. A solderable fill encompassing each of the optical fibers by filling spaces between each of the optical fibers and between the optical fibers and the glass tube such that the ends of the glass tube include the ends of the optical fibers surrounded by the solderable fill to form an interface around the optical fibers for soldering one of the ends of the glass tube to a solder pad.
    Type: Grant
    Filed: August 14, 2018
    Date of Patent: March 23, 2021
    Assignee: International Business Machines Corporation
    Inventors: Jiayu Zheng, Tao Song, Zexin Luo, WeiFeng Zhang, Lingle Guo, Mingman Li, Zhen Wang
  • Patent number: 10679054
    Abstract: Embodiments of the present invention provide a computer-implemented method for identifying a specified object. The method includes collecting attributes of a physical object within a physical space, in which the attributes include an object temperature obtained via an (IR) sensor and an object shape obtained via an image sensor. A machine learning algorithm is executed to allocate a coordinate to the object based on the attributes. In response to a request from a user to locate the object, the physical space is scanned via the IR sensor and the image sensor to identify the object and to detect a present location. An indication of a location of the object is then displayed to the user, in which the indication is at least one of the present location of the object or a predicted location of the object.
    Type: Grant
    Filed: September 4, 2018
    Date of Patent: June 9, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Jiayu Zheng, Lingle Guo, LiCen Mu, Susan Zhai, Xiao Hu
  • Publication number: 20200074175
    Abstract: Embodiments of the present invention provide a computer-implemented method for identifying a specified object. The method includes collecting attributes of a physical object within a physical space, in which the attributes include an object temperature obtained via an (IR) sensor and an object shape obtained via an image sensor. A machine learning algorithm is executed to allocate a coordinate to the object based on the attributes. In response to a request from a user to locate the object, the physical space is scanned via the IR sensor and the image sensor to identify the object and to detect a present location. An indication of a location of the object is then displayed to the user, in which the indication is at least one of the present location of the object or a predicted location of the object.
    Type: Application
    Filed: September 4, 2018
    Publication date: March 5, 2020
    Inventors: Jiayu Zheng, Lingle Guo, LiCen Mu, Susan Zhai, Xiao Hu
  • Publication number: 20200058117
    Abstract: System and methods for solder void analysis with an optical inspection component are described, including a plurality of optical fibers longitudinally disposed through a glass tube such that ends of the optical fibers are exposed from corresponding ends of the glass tube. A solderable fill encompassing each of the optical fibers by filling spaces between each of the optical fibers and between the optical fibers and the glass tube such that the ends of the glass tube include the ends of the optical fibers surrounded by the solderable fill to form an interface around the optical fibers for soldering one of the ends of the glass tube to a solder pad.
    Type: Application
    Filed: August 14, 2018
    Publication date: February 20, 2020
    Inventors: Jiayu Zheng, Tao Song, Zexin Luo, WeiFeng Zhang, Lingle Guo, Mingman Li, Zhen Wang