Patents by Inventor Nick Sykes

Nick Sykes 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).

  • Computer vision systems and methods for automatically detecting, classifying, and pricing objects captured in images or videos
    Patent number: 11676182
    Abstract: Systems and methods for automatically detecting, classifying, and processing objects captured in an images or videos are provided. In one embodiment, the system receives an image from an image source and detects one or more objects in the image. The system performs a high-level classification of the one or more objects in the image. The system performs a specific classification of the one or more objects, determines a price of the one or more objects, and generates a pricing report comprising a price of the one or more objects. In another embodiment, the system captures at least one image or video frame and classifies an object present in the image or video frame using a neural network. The system adds the classified object and an assigned object code to an inventory and processes the inventory to assign the classified object a price.
    Type: Grant
    Filed: January 29, 2021
    Date of Patent: June 13, 2023
    Assignee: Insurance Services Office, Inc.
    Inventors: Matthew David Frei, Sam Warren, Caroline McKee, Bryce Zachary Porter, Dean Lebaron, Nick Sykes, Kelly Redd
  • Computer Vision Systems and Methods for Automatically Detecting, Classifying, and Pricing Objects Captured in Images or Videos
    Publication number: 20210201039
    Abstract: Systems and methods for automatically detecting, classifying, and processing objects captured in an images or videos are provided. In one embodiment, the system receives an image from an image source and detects one or more objects in the image. The system performs a high-level classification of the one or more objects in the image. The system performs a specific classification of the one or more objects, determines a price of the one or more objects, and generates a pricing report comprising a price of the one or more objects. In another embodiment, the system captures at least one image or video frame and classifies an object present in the image or video frame using a neural network. The system adds the classified object and an assigned object code to an inventory and processes the inventory to assign the classified object a price.
    Type: Application
    Filed: January 29, 2021
    Publication date: July 1, 2021
    Inventors: Matthew David Frei, Sam Warren, Caroline McKee, Bryce Zachary Porter, Dean Lebaron, Nick Sykes, Kelly Redd