Patents by Inventor Neal Checka

Neal Checka 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: 11694318
    Abstract: This disclosure provides systems, methods, and apparatus detecting defects in a substrate. An image of the substrate is compared with a reference image to identify potential defects. Images corresponding to the potential defects are processed sequentially by a set of classifiers to generate a set of images that include a defect. The set of classifiers can be arranged to have increasing accuracy. A subset of the images corresponding to the potential defects is processed by a type classifier that can determine the type, size, and location of the defect in the images. The defects can be further processed to determine the severity of the defects based on the location of the defects on the substrate.
    Type: Grant
    Filed: December 17, 2021
    Date of Patent: July 4, 2023
    Assignee: Minds AI Technologies Ltd
    Inventors: Neal Checka, Christos Mario Christoudias
  • Publication number: 20220309637
    Abstract: This disclosure provides systems, methods, and apparatus detecting defects in a substrate. An image of the substrate is compared with a reference image to identify potential defects. Images corresponding to the potential defects are processed sequentially by a set of classifiers to generate a set of images that include a defect. The set of classifiers can be arranged to have increasing accuracy. A subset of the images corresponding to the potential defects is processed by a type classifier that can determine the type, size, and location of the defect in the images. The defects can be further processed to determine the severity of the defects based on the location of the defects on the substrate.
    Type: Application
    Filed: December 17, 2021
    Publication date: September 29, 2022
    Inventors: Neal CHECKA, Christos Mario CHRISTOUDIAS
  • Patent number: 11216932
    Abstract: This disclosure provides systems, methods, and apparatus detecting defects in a substrate. An image of the substrate is compared with a reference image to identify potential defects. Images corresponding to the potential defects are processed sequentially by a set of classifiers to generate a set of images that include a defect. The set of classifiers can be arranged to have increasing accuracy. A subset of the images corresponding to the potential defects is processed by a type classifier that can determine the type, size, and location of the defect in the images. The defects can be further processed to determine the severity of the defects based on the location of the defects on the substrate.
    Type: Grant
    Filed: March 26, 2021
    Date of Patent: January 4, 2022
    Assignee: Minds AI Technologies Ltd
    Inventors: Neal Checka, Christos Mario Christoudias
  • Patent number: 11014243
    Abstract: A system and method of instructing a device is disclosed. The system includes a signal source for providing at least one visual signal where the at least one visual signal is substantially indicative of at least one activity to be performed by the device. A visual signal capturing element captures the at least one visual signal and communicates the at least one visual signal to the device where the device interprets the at least one visual signal and performs the activity autonomously and without requiring any additional signals or other information from the signal source.
    Type: Grant
    Filed: June 14, 2018
    Date of Patent: May 25, 2021
    Assignee: VECNA ROBOTICS, INC.
    Inventor: Neal Checka
  • Patent number: 9999976
    Abstract: A system and method of instructing a device is disclosed. The system includes a signal source for providing at least one visual signal where the at least one visual signal is substantially indicative of at least one activity to be performed by the device. A visual signal capturing element captures the at least one visual signal and communicates the at least one visual signal to the device where the device interprets the at least one visual signal and performs the activity autonomously and without requiring any additional signals or other information from the signal source.
    Type: Grant
    Filed: October 29, 2015
    Date of Patent: June 19, 2018
    Assignee: VECNA TECHNOLOGIES, INC.
    Inventor: Neal Checka
  • Patent number: 9710708
    Abstract: A method and apparatus for autonomously recognizing at least one object in an image is provided. The method includes obtaining an image and providing an image analyzer for autonomously analyzing the image and autonomously identifying at least one item of information regarding at least one object in the image. The at least one item of information regarding the at least one object may be identified without regard to the at least one object's appearance, location, or orientation in the image and without requiring any outside intervention or human input, so that information regarding the at least one object, such as the at least one object's actions, movements, and locations may be obtained from the image.
    Type: Grant
    Filed: March 24, 2014
    Date of Patent: July 18, 2017
    Assignee: VECNA TECHNOLOGIES, INC.
    Inventor: Neal Checka
  • Patent number: 9609234
    Abstract: A completely self-contained camera module and operating method are provided. The camera module includes a housing member for mounting to a desired surface, an internal support structure positioned within the housing, and at least two cameras secured to the support structure. Each camera has a field of view to an exterior of the housing. The support structure being operably configured to be readily securable to and removable from the housing so that the support structure and cameras can easily be installed during manufacturing to at least reduce manufacturing variability and so that, if a module is not working in the field, an operator can at least readily replace the support structure and cameras as desired with a different support and cameras in the field without requiring tools and without needing to locate and replace a specific malfunctioning camera.
    Type: Grant
    Filed: December 24, 2014
    Date of Patent: March 28, 2017
    Assignee: VECNA TECHNOLOGIES, INC.
    Inventor: Neal Checka
  • Publication number: 20160350336
    Abstract: A method is provided for processing image data using a computer system. This method includes: receiving a plurality of image descriptors, each of the image descriptors representing a unique visual characteristic; receiving image data representative of a primary image; processing the image data to select a first subset of the image descriptors that represent a plurality of visual characteristics of the primary image; receiving an image dataset representative of a plurality of secondary images; and processing the image dataset based on the first subset of the image descriptors to determine which of the secondary images are visually similar to the primary image.
    Type: Application
    Filed: May 27, 2016
    Publication date: December 1, 2016
    Inventors: Neal Checka, C. Mario Christoudias, Harsha Rajendra Prasad
  • Patent number: 9452528
    Abstract: A device and method is provided for controlling a mechanism in communication with a handheld device. The method includes sensing a maneuver of the handheld device and providing at least one vector command to the mechanism based on the sensed maneuver in order to control the mechanism.
    Type: Grant
    Filed: March 5, 2012
    Date of Patent: September 27, 2016
    Assignee: VECNA TECHNOLOGIES, INC.
    Inventors: Neal Checka, David Demirdjlan, Shawn Schaffert
  • Patent number: 9211644
    Abstract: A system and method of instructing a device is disclosed. The system includes a signal source for providing at least one visual signal where the at least one visual signal is substantially indicative of at least one activity to be performed by the device. A visual signal capturing element captures the at least one visual signal and communicates the at least one visual signal to the device where the device interprets the at least one visual signal and performs the activity autonomously and without requiring any additional signals or other information from the signal source.
    Type: Grant
    Filed: October 25, 2013
    Date of Patent: December 15, 2015
    Assignee: Vecna Technologies, Inc.
    Inventor: Neal Checka
  • Publication number: 20110255736
    Abstract: An adaptive marketing image recognition system enables internet-based interactivity between individuals, commercial entities, and internet-based social networks. The system may receive a digital image from an individual and process the images to recognize at least one marketing image contained within the digital image. The system may identify at least one commercial entity associated with the marketing image, and provide a marketing response to the individual that may be tailored to the individual. The system may additionally provide marketing responses to members of an internet-based social network to which the individual belongs. Marketing metrics associated with the recognized marketing image and distribution of marketing responses may be compiled by the system and provided to the at least one commercial entity.
    Type: Application
    Filed: April 15, 2011
    Publication date: October 20, 2011
    Applicant: Pongr, Inc.
    Inventors: James Thompson, Neal Checka, Zachary Cox