Patents by Inventor Kyle E. Dorman

Kyle E. Dorman 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: 20200074393
    Abstract: Systems and techniques are provided for tracking puts and takes of inventory items by subjects in an area of real space. A plurality of cameras with overlapping fields of view produce respective sequences of images of corresponding fields of view in the real space. In one embodiment, the system includes first image processors, including subject image recognition engines, receiving corresponding sequences of images from the plurality of cameras. The first image processors process images to identify subjects represented in the images in the corresponding sequences of images. The system includes second image processors, including background image recognition engines, receiving corresponding sequences of images from the plurality of cameras. The second image processors mask the identified subjects to generate masked images. Following this, the second image processors process the masked images to identify and classify background changes represented in the images in the corresponding sequences of images.
    Type: Application
    Filed: November 8, 2019
    Publication date: March 5, 2020
    Applicant: STANDARD COGNITION, CORP
    Inventors: JORDAN E. FISHER, DANIEL L. FISCHETTI, BRANDON L. OGLE, JOHN F. NOVAK, KYLE E. DORMAN, KENNETH S. KIHARA, JUAN C. LASHERAS
  • Patent number: 10474992
    Abstract: Systems and techniques are provided for tracking puts and takes of inventory items by subjects in an area of real space. A plurality of cameras with overlapping fields of view produce respective sequences of images of corresponding fields of view in the real space. In one embodiment, the system includes first image processors, including subject image recognition engines, receiving corresponding sequences of images from the plurality of cameras. The first image processors process images to identify subjects represented in the images in the corresponding sequences of images. The system includes second image processors, including background image recognition engines, receiving corresponding sequences of images from the plurality of cameras. The second image processors mask the identified subjects to generate masked images. Following this, the second image processors process the masked images to identify and classify background changes represented in the images in the corresponding sequences of images.
    Type: Grant
    Filed: January 24, 2019
    Date of Patent: November 12, 2019
    Assignee: Standard Cognition, Corp.
    Inventors: Jordan E. Fisher, Daniel L. Fischetti, Brandon L. Ogle, John F. Novak, Kyle E. Dorman, Kenneth S. Kihara, Juan C. Lasheras
  • Patent number: 10474988
    Abstract: Systems and techniques are provided for tracking puts and takes of inventory items by subjects in an area of real space. A plurality of cameras with overlapping fields of view produce respective sequences of images of corresponding fields of view in the real space. In one embodiment, the system includes first image processors, including subject image recognition engines, receiving corresponding sequences of images from the plurality of cameras. The first image processors process images to identify subjects represented in the images in the corresponding sequences of images. The system includes second image processors, including background image recognition engines, receiving corresponding sequences of images from the plurality of cameras. The second image processors mask the identified subjects to generate masked images. Following this, the second image processors process the masked images to identify and classify background changes represented in the images in the corresponding sequences of images.
    Type: Grant
    Filed: April 4, 2018
    Date of Patent: November 12, 2019
    Assignee: Standard Cognition, Corp.
    Inventors: Jordan E. Fisher, Daniel L. Fischetti, Brandon L. Ogle, John F. Novak, Kyle E. Dorman, Kenneth S. Kihara, Juan C. Lasheras
  • Patent number: 10474993
    Abstract: Systems and techniques are provided for tracking puts and takes of inventory items by subjects in an area of real space. A plurality of cameras with overlapping fields of view produce respective sequences of images of corresponding fields of view in the real space. In one embodiment, the system includes first image processors, including subject image recognition engines, receiving corresponding sequences of images from the plurality of cameras. The first image processors process images to identify subjects represented in the images in the corresponding sequences of images. The system includes second image processors, including background image recognition engines, receiving corresponding sequences of images from the plurality of cameras. The second image processors mask the identified subjects to generate masked images. Following this, the second image processors process the masked images to identify and classify background changes represented in the images in the corresponding sequences of images.
    Type: Grant
    Filed: January 24, 2019
    Date of Patent: November 12, 2019
    Assignee: Standard Cognition, Corp.
    Inventors: Jordan E. Fisher, Daniel L. Fischetti, Brandon L. Ogle, John F. Novak, Kyle E. Dorman, Kenneth S. Kihara, Juan C. Lasheras
  • Publication number: 20190156275
    Abstract: Systems and techniques are provided for tracking puts and takes of inventory items by subjects in an area of real space. A plurality of cameras with overlapping fields of view produce respective sequences of images of corresponding fields of view in the real space. In one embodiment, the system includes first image processors, including subject image recognition engines, receiving corresponding sequences of images from the plurality of cameras. The first image processors process images to identify subjects represented in the images in the corresponding sequences of images. The system includes second image processors, including background image recognition engines, receiving corresponding sequences of images from the plurality of cameras. The second image processors mask the identified subjects to generate masked images. Following this, the second image processors process the masked images to identify and classify background changes represented in the images in the corresponding sequences of images.
    Type: Application
    Filed: January 24, 2019
    Publication date: May 23, 2019
    Applicant: STANDARD COGNITION, CORP
    Inventors: JORDAN E. FISHER, DANIEL L. FISCHETTI, BRANDON L. OGLE, JOHN F. NOVAK, KYLE E. DORMAN, KENNETH S. KIHARA, JUAN C. LASHERAS
  • Publication number: 20190156274
    Abstract: Systems and techniques are provided for tracking puts and takes of inventory items by subjects in an area of real space. A plurality of cameras with overlapping fields of view produce respective sequences of images of corresponding fields of view in the real space. In one embodiment, the system includes first image processors, including subject image recognition engines, receiving corresponding sequences of images from the plurality of cameras. The first image processors process images to identify subjects represented in the images in the corresponding sequences of images. The system includes second image processors, including background image recognition engines, receiving corresponding sequences of images from the plurality of cameras. The second image processors mask the identified subjects to generate masked images. Following this, the second image processors process the masked images to identify and classify background changes represented in the images in the corresponding sequences of images.
    Type: Application
    Filed: January 24, 2019
    Publication date: May 23, 2019
    Applicant: STANDARD COGNITION, CORP
    Inventors: JORDAN E. FISHER, DANIEL L. FISCHETTI, BRANDON L. OGLE, JOHN F. NOVAK, KYLE E. DORMAN, KENNETH S. KIHARA, JUAN C. LASHERAS
  • Publication number: 20190043003
    Abstract: Systems and techniques are provided for tracking puts and takes of inventory items by subjects in an area of real space. A plurality of cameras with overlapping fields of view produce respective sequences of images of corresponding fields of view in the real space. In one embodiment, the system includes first image processors, including subject image recognition engines, receiving corresponding sequences of images from the plurality of cameras. The first image processors process images to identify subjects represented in the images in the corresponding sequences of images. The system includes second image processors, including background image recognition engines, receiving corresponding sequences of images from the plurality of cameras. The second image processors mask the identified subjects to generate masked images. Following this, the second image processors process the masked images to identify and classify background changes represented in the images in the corresponding sequences of images.
    Type: Application
    Filed: April 4, 2018
    Publication date: February 7, 2019
    Applicant: STANDARD COGNITION, CORP
    Inventors: JORDAN E. FISHER, DANIEL L. FISCHETTI, BRANDON L. OGLE, JOHN F. NOVAK, KYLE E. DORMAN, KENNETH S. KIHARA, JUAN C. LASHERAS
  • Patent number: 10133933
    Abstract: Systems and techniques are provided for tracking puts and takes of inventory items by subjects in an area of real space. A plurality of cameras with overlapping fields of view produce respective sequences of images of corresponding fields of view in the real space. A processing system is coupled to the system. In one embodiment, the processing system comprises image recognition engines receiving corresponding sequences of images from the plurality of cameras. The image recognition engines process the images in the corresponding sequences to identify subjects represented in the images and generate classifications of the identified subjects. The system processes the classifications of identified subjects for sets of images in the sequences of images to detect takes and puts of inventory items on shelves by identified subjects.
    Type: Grant
    Filed: February 27, 2018
    Date of Patent: November 20, 2018
    Assignee: STANDARD COGNITION, CORP
    Inventors: Jordan E. Fisher, Daniel L. Fischetti, Brandon L. Ogle, John F. Novak, Kyle E. Dorman, Kenneth S. Kihara, Juan C. Lasheras
  • Patent number: 10127438
    Abstract: Systems and techniques are provided for tracking puts and takes of inventory items by subjects in an area of real space. A plurality of cameras with overlapping fields of view produce respective sequences of images of corresponding fields of view in the real space. In one embodiment, the system includes first image processors, including subject image recognition engines, receiving corresponding sequences of images from the plurality of cameras. The first image processors process images to identify subjects represented in the images in the corresponding sequences of images. The system includes second image processors, including background image recognition engines, receiving corresponding sequences of images from the plurality of cameras. The second image processors mask the identified subjects to generate masked images. Following this, the second image processors process the masked images to identify and classify background changes represented in the images in the corresponding sequences of images.
    Type: Grant
    Filed: April 4, 2018
    Date of Patent: November 13, 2018
    Assignee: STANDARD COGNITION, CORP
    Inventors: Jordan E. Fisher, Daniel L. Fischetti, Brandon L. Ogle, John F. Novak, Kyle E. Dorman, Kenneth S. Kihara, Juan C. Lasheras