Patents by Inventor Ethan Michael Baird

Ethan Michael Baird 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: 20240112248
    Abstract: A system for enabling in store routing of a user generated shopping list using existing store cameras and artificial intelligence and machine learning is provided. The system uses a pixelbuffer comparison of items imaged in real time to compared to a database of machine learned images. The system further provides item recognition and detection through machine learning so as to improve a shoppers experiences. The system and method further includes drone assistance means and radio signal item and biological detection so as to improve accuracy. Other features to improve guidance and accuracy include landmark navigation and masking to improve accuracy of item recognition and detection. The system may be a standalone kiosk.
    Type: Application
    Filed: December 12, 2023
    Publication date: April 4, 2024
    Inventors: David Stout, Ethan Michael Baird, Tyler Mauer
  • Publication number: 20240112251
    Abstract: A system for enabling in store routing of a user generated shopping list using existing store cameras and artificial intelligence and machine learning is provided. The system uses a pixelbuffer comparison of items imaged in real time to compared to a database of machine learned images. The system further provides item recognition and detection through machine learning so as to improve a shoppers experiences. The system and method further includes drone assistance means and radio signal item and biological detection so as to improve accuracy. Other features to improve guidance and accuracy include landmark navigation and masking to improve accuracy of item recognition and detection.
    Type: Application
    Filed: December 12, 2023
    Publication date: April 4, 2024
    Inventors: David Paul Stout, Ethan Michael Baird
  • Patent number: 11880877
    Abstract: A system for enabling in store routing of a user generated shopping list using existing store cameras and artificial intelligence and machine learning is provided. The system uses a pixelbuffer comparison of items imaged in real time to compared to a database of machine learned images. The system further provides item recognition and detection through machine learning so as to improve a shoppers experiences. The system and method further includes drone assistance means and radio signal item and biological detection so as to improve accuracy. Other features to improve guidance and accuracy include landmark navigation and masking to improve accuracy of item recognition and detection. The system may be a standalone kiosk.
    Type: Grant
    Filed: September 4, 2019
    Date of Patent: January 23, 2024
    Assignee: Ghost House Technology, LLC
    Inventors: David Paul Stout, Ethan Michael Baird, Tyler Mauer
  • Patent number: 11880879
    Abstract: A system for enabling in store routing of a user generated shopping list using existing store cameras and artificial intelligence and machine learning is provided. The system uses a pixelbuffer comparison of items imaged in real time to compared to a database of machine learned images. The system further provides item recognition and detection through machine learning so as to improve a shoppers experiences. The system and method further includes drone assistance means and radio signal item and biological detection so as to improve accuracy. Other features to improve guidance and accuracy include landmark navigation and masking to improve accuracy of item recognition and detection.
    Type: Grant
    Filed: July 1, 2019
    Date of Patent: January 23, 2024
    Assignee: Ghost House Technology, LLC
    Inventors: David Paul Stout, Ethan Michael Baird
  • Publication number: 20200178706
    Abstract: A system for enabling in store routing of a user generated shopping list using existing store cameras and artificial intelligence and machine learning is provided. The system uses a pixelbuffer comparison of items imaged in real time to compared to a database of machine learned images. The system further provides item recognition and detection through machine learning so as to improve a shoppers experiences. The system and method further includes drone assistance means and radio signal item and biological detection so as to improve accuracy. Other features to improve guidance and accuracy include landmark navigation and masking to improve accuracy of item recognition and detection. The system may be a standalone kiosk.
    Type: Application
    Filed: September 4, 2019
    Publication date: June 11, 2020
    Applicant: Ghost House Technology, LLC
    Inventors: David Paul Stout, Ethan Michael Baird, Tyler Mauer
  • Publication number: 20200005385
    Abstract: A system for enabling in store routing of a user generated shopping list using existing store cameras and artificial intelligence and machine learning is provided. The system uses a pixelbuffer comparison of items imaged in real time to compared to a database of machine learned images. The system further provides item recognition and detection through machine learning so as to improve a shoppers experiences. The system and method further includes drone assistance means and radio signal item and biological detection so as to improve accuracy. Other features to improve guidance and accuracy include landmark navigation and masking to improve accuracy of item recognition and detection.
    Type: Application
    Filed: July 1, 2019
    Publication date: January 2, 2020
    Applicant: Ghost House Technology, LLC
    Inventors: David Paul Stout, Ethan Michael Baird