Patents by Inventor Isabel TSAI

Isabel TSAI 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: 20250037101
    Abstract: Self-checkout vehicle systems and methods comprising a self-checkout vehicle having a camera(s), a weight sensor(s), and a processor configured to: (i) identify via computer vision a merchandise item selected by a shopper based on an identifier affixed to the selected item, and (ii) calculate a price of the merchandise item based on the identification and weight of the selected item. Computer vision systems and methods for identifying merchandise selected by a shopper comprising a processor configured to: (i) identify an identifier affixed to the selected merchandise and an item category of the selected merchandise, and (ii) compare the identifier and item category identified in each respective image to determine the most likely identification of the merchandise.
    Type: Application
    Filed: October 4, 2024
    Publication date: January 30, 2025
    Inventors: Shiyuan YANG, Lin GAO, Yufeng HE, Xiao ZHOU, Yilin HUANG, Griffin KELLY, Isabel TSAI, Ahmed BESHRY
  • Publication number: 20230087587
    Abstract: Self-checkout vehicle systems and methods comprising a self-checkout vehicle having a camera(s), a weight sensor(s), and a processor configured to: (i) identify via computer vision a merchandise item selected by a shopper based on an identifier affixed to the selected item, and (ii) calculate a price of the merchandise item based on the identification and weight of the selected item. Computer vision systems and methods for identifying merchandise selected by a shopper comprising a processor configured to: (i) identify an identifier affixed to the selected merchandise and an item category of the selected merchandise, and (ii) compare the identifier and item category identified in each respective image to determine the most likely identification of the merchandise.
    Type: Application
    Filed: September 22, 2022
    Publication date: March 23, 2023
    Inventors: Shiyuan YANG, Lin GAO, Yufeng HE, Xiao ZHOU, Yilin HUANG, Griffin KELLY, Isabel TSAI, Ahmed BESHRY