Patents by Inventor Dirk Schnieders

Dirk Schnieders 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).

  • Fungal identification by pattern recognition
    Patent number: 11397868
    Abstract: A system includes a memory and a processor configured to execute computer instructions stored in the memory that when executed cause the system to perform operations. The computer instructions include a learning component that includes one or more trained models to learn pathogenic features of a given fungal species based on learning from a plurality of stored fungal species images. A fungal identifier component employs the trained models to determine pathogenic parameters of an unidentified fungal species image based on the learned pathogenic features. The fungal identifier component generates an output file that classifies the unidentified fungal species image according to the determined pathogenic parameters from the unidentified fungal species image.
    Type: Grant
    Filed: March 26, 2020
    Date of Patent: July 26, 2022
    Assignee: THE UNIVERSITY OF HONG KONG
    Inventors: Chiu Yat Patrick Woo, Chenyang Zhao, Kar Pui Susanna Lau, Chi Ching Tsang, Wang Ngai Chow, Siu Ming Yiu, Dirk Schnieders
  • FUNGAL IDENTIFICATION BY PATTERN RECOGNITION
    Publication number: 20210303845
    Abstract: A system includes a memory and a processor configured to execute computer instructions stored in the memory that when executed cause the system to perform operations. The computer instructions include a learning component that includes one or more trained models to learn pathogenic features of a given fungal species based on learning from a plurality of stored fungal species images. A fungal identifier component employs the trained models to determine pathogenic parameters of an unidentified fungal species image based on the learned pathogenic features. The fungal identifier component generates an output file that classifies the unidentified fungal species image according to the determined pathogenic parameters from the unidentified fungal species image.
    Type: Application
    Filed: March 26, 2020
    Publication date: September 30, 2021
    Inventors: Chiu Yat Patrick Woo, Chenyang Zhao, Kar Pui Susanna Lau, Chi Ching Tsang, Wang Ngai Chow, Siu Ming Yiu, Dirk Schnieders