Patents by Inventor Wen-Ai Wu

Wen-Ai Wu 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).

  • Publication number: 20240138366
    Abstract: An apparatus for monitoring experimental animals is provided in a rack including cages each for confining an experimental animal. The apparatus includes at least one rail unit including a rail group having a first rail disposed at one side of the cage; at least one drive unit electrically connected to the at least one rail unit and including a drive disposed at one side of the first rail and operatively connected thereto so that the drive is configured to activate the first rail; at least one control unit including a controller disposed at the other side of the first rail, a first mounting board disposed on a bottom of the controller, and a second mounting board secured to the first mounting board and disposed on the first rail; and at least one sensor unit including a sensor secured to the controller and electrically connected thereto.
    Type: Application
    Filed: November 2, 2022
    Publication date: May 2, 2024
    Applicant: TANGENE INCORPORATED
    Inventors: Shih-Siou Wang, Wen-Ai Wu
  • Publication number: 20240127594
    Abstract: A method of monitoring experimental animals includes the steps of (1) obtaining image data from a self-moved device to form an image data set; (2) converting key frames of the image data of the image data set to still images; (3) performing a GUI program of a computer to label a coordinate of a target object of the still images as a label data and storing the label data in the computer, and labeling the label data as a target data set, (4) inputting data of the target data set into a machine learning platform and establishing an identification model; (5) placing the identification model in at least one control unit; and (6) forming a new target data set by subjecting a new image data to steps (2) and (3), and comparing the new target data set with the identification model to obtain an identification result.
    Type: Application
    Filed: October 14, 2022
    Publication date: April 18, 2024
    Applicant: TANGENE INCORPORATED
    Inventors: Shih-Siou Wang, Wen-Ai Wu