Patents by Inventor Wing Tsui

Wing Tsui 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: 12512193
    Abstract: Systems and methods for data normalization are disclosed. The disclosed systems and methods train one or more machine learning model based on a plurality of annotated records and apply these trained models to new or updated records. The models are configured to analyze the records and generate classifications or concepts from the records and corresponding confidence scores. If the confidence scores exceed a threshold, the corresponding classifications or concepts are appended to the appropriate record.
    Type: Grant
    Filed: November 8, 2022
    Date of Patent: December 30, 2025
    Assignee: Truveta, Inc.
    Inventors: Cezary Antoni Marcjan, Srinivas R. Burugapalli, Nishant Gopalakrishnan, Jayaram Nanduri, Saman Zarandioon, Senthil Nachimuthu, Swarna Subash, Wing Tsui, Patricia Cuplin, Ramesh Kolavennu, Mehrdad Biglari
  • Patent number: 12231617
    Abstract: One embodiment can provide a machine-vision system that includes one or more stereo-vision modules. A respective stereo-vision module can include a structured-light projector, a first camera positioned on a first side of the structured-light projector, and a second camera positioned on a second side of the structured-light projector. The first and second cameras are configured to capture images of an object under illumination by the structured-light projector. The structured-light projector can include a laser-based light source and an optical modulator configured to reduce speckles caused by the laser-based light source.
    Type: Grant
    Filed: July 22, 2020
    Date of Patent: February 18, 2025
    Assignee: eBots Inc.
    Inventors: MingDu Kang, Kai C. Yung, Wing Tsui, Zheng Xu
  • Publication number: 20240370404
    Abstract: Techniques for metadata driven normalization are disclosed. In some examples, the disclosed technology includes receiving a plurality of configuration data structures, each configuration data structure comprising one or more mappings, each mapping comprising a reference to instructions for transforming data. Metadata associated with a received data set is identified and compared to metadata information associated with the configuration data structures. A configuration data structure is selected based on this comparison and referenced instructions are used to generate and then execute code for transforming the received data set.
    Type: Application
    Filed: April 26, 2024
    Publication date: November 7, 2024
    Inventors: Srinivasa R. Burugapalli, Ramesh Kolavennu, Wing Tsui, Patricia Cuplin, Mehrdad Biglari
  • Publication number: 20230269361
    Abstract: One embodiment can provide a machine-vision system that includes one or more stereo-vision modules. A respective stereo-vision module can include a structured-light projector, a first camera positioned on a first side of the structured-light projector, and a second camera positioned on a second side of the structured-light projector. The first and second cameras are configured to capture images of an object under illumination by the structured-light projector. The structured-light projector can include a laser-based light source and an optical modulator configured to reduce speckles caused by the laser-based light source.
    Type: Application
    Filed: July 22, 2020
    Publication date: August 24, 2023
    Applicant: eBots Inc
    Inventors: MingDu Kang, Kai C. Yung, Wing Tsui, Zheng Xu
  • Publication number: 20230147366
    Abstract: Systems and methods for data normalization are disclosed. The disclosed systems and methods train one or more machine learning model based on a plurality of annotated records and apply these trained models to new or updated records. The models are configured to analyze the records and generate classifications or concepts from the records and corresponding confidence scores. If the confidence scores exceed a threshold, the corresponding classifications or concepts are appended to the appropriate record.
    Type: Application
    Filed: November 8, 2022
    Publication date: May 11, 2023
    Inventors: Cezary A. Marcjan, Srinivas R. R. Burugapalli, Nishant Gopalakrishnan, Jayaram Nanduri, Saman Zarandioon, Senthil Nachimuthu, Swarna Subash, Wing Tsui, Patty Culpin, Ramesh Kolavennu, Mehrdad Biglari