Patents by Inventor Daniel L. Fischetti

Daniel L. Fischetti 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: 20200234463
    Abstract: Systems and techniques are provided for linking subjects in an area of real space with user accounts. The user accounts are linked with client applications executable on mobile computing devices. A plurality of cameras are disposed above the area. The cameras in the plurality of cameras produce respective sequences of images in corresponding fields of view in the real space. A processing system is coupled to the plurality of cameras. The processing system includes logic to determine locations of subjects represented in the images. The processing system further includes logic to match the identified subjects with user accounts by identifying locations of the mobile computing devices executing client applications in the area of real space and matching locations of the mobile computing devices with locations of the subjects.
    Type: Application
    Filed: April 7, 2020
    Publication date: July 23, 2020
    Applicant: STANDARD COGNITION, CORP
    Inventors: JORDAN E. FISHER, Warren GREEN, DANIEL L. FISCHETTI
  • Patent number: 10650545
    Abstract: Systems and techniques are provided for linking subjects in an area of real space with user accounts. The user accounts are linked with client applications executable on mobile computing devices. A plurality of cameras are disposed above the area. The cameras in the plurality of cameras produce respective sequences of images in corresponding fields of view in the real space. A processing system is coupled to the plurality of cameras. The processing system includes logic to determine locations of subjects represented in the images. The processing system further includes logic to match the identified subjects with user accounts by identifying locations of the mobile computing devices executing client applications in the area of real space and matching locations of the mobile computing devices with locations of the subjects.
    Type: Grant
    Filed: January 23, 2019
    Date of Patent: May 12, 2020
    Assignee: Standard Cognition, Corp.
    Inventors: Jordan E. Fisher, Warren Green, Daniel L. Fischetti
  • Publication number: 20200074394
    Abstract: Systems and techniques are provided for tracking inventory items in an area of real space. A plurality of cameras, or other sensors, produce respective sequences of images in corresponding fields of view in the real space. The field of view of each camera overlaps with the field of view of at least one other camera. The system is coupled to the plurality of cameras and uses the sequences of images produced by at least two cameras in the plurality of cameras to identify inventory events. The inventory event includes an item identifier, a location and a timestamp. A plurality of cells having coordinates in the area of real space are stored as a data set in the memory. The processing system calculates scores at a scoring time, for inventory items having locations matching particular cells using respective counts of inventory events.
    Type: Application
    Filed: November 8, 2019
    Publication date: March 5, 2020
    Applicant: STANDARD COGNITION, CORP
    Inventors: JORDAN E. FISHER, DANIEL L. FISCHETTI, Michael S. SUSWAL, Nicholas J. LOCASCIO
  • 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: 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: 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: 10474991
    Abstract: Systems and techniques are provided for tracking inventory items in an area of real space. A plurality of cameras, or other sensors, produce respective sequences of images in corresponding fields of view in the real space. The field of view of each camera overlaps with the field of view of at least one other camera. The system is coupled to the plurality of cameras and uses the sequences of images produced by at least two cameras in the plurality of cameras to identify inventory events. The inventory event includes an item identifier, a location and a timestamp. A plurality of cells having coordinates in the area of real space are stored as a data set in the memory. The processing system calculates scores at a scoring time, for inventory items having locations matching particular cells using respective counts of inventory events.
    Type: Grant
    Filed: January 24, 2019
    Date of Patent: November 12, 2019
    Assignee: Standard Cognition, Corp.
    Inventors: Jordan E. Fisher, Daniel L. Fischetti, Michael S. Suswal, Nicholas J. Locascio
  • 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
  • Patent number: 10445694
    Abstract: Systems and techniques are provided for tracking inventory items in an area of real space including inventory display structures. A plurality of cameras are disposed above the inventory display structures. The cameras in the plurality of cameras produce respective sequences of images in corresponding fields of view in the real space. A memory stores a map of the area of real space identifying inventory locations on inventory display structures. The system is coupled to a plurality of cameras and uses the sequences of images produced by at least two cameras in the plurality of cameras to find a location of an inventory event in three dimensions in the area of real space. The system matches the location of the inventory event with an inventory location.
    Type: Grant
    Filed: January 24, 2019
    Date of Patent: October 15, 2019
    Assignee: Standard Cognition, Corp.
    Inventors: Jordan E. Fisher, Daniel L. Fischetti, Nicholas J. Locascio
  • Publication number: 20190156506
    Abstract: Systems and techniques are provided for linking subjects in an area of real space with user accounts. The user accounts are linked with client applications executable on mobile computing devices. A plurality of cameras are disposed above the area. The cameras in the plurality of cameras produce respective sequences of images in corresponding fields of view in the real space. A processing system is coupled to the plurality of cameras. The processing system includes logic to determine locations of subjects represented in the images. The processing system further includes logic to match the identified subjects with user accounts by identifying locations of the mobile computing devices executing client applications in the area of real space and matching locations of the mobile computing devices with locations of the subjects.
    Type: Application
    Filed: January 23, 2019
    Publication date: May 23, 2019
    Applicant: STANDARD COGNITION, CORP
    Inventors: JORDAN E. FISHER, Warren GREEN, DANIEL L. FISCHETTI
  • 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: 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: 20190156277
    Abstract: Systems and techniques are provided for tracking locations of inventory items in an area of real space including inventory display structures. A plurality of cameras are disposed above the inventory display structures. The cameras in the plurality of cameras produce respective sequences of images in corresponding fields of view in the real space. A memory stores a map of the area of real space identifying inventory locations on inventory display structures. The system is coupled to a plurality of cameras and uses the sequences of images produced by at least two cameras in the plurality of cameras to find a location of an inventory event in three dimensions in the area of real space. The system matches the location of the inventory event with an inventory location.
    Type: Application
    Filed: January 24, 2019
    Publication date: May 23, 2019
    Applicant: STANDARD COGNITION, CORP
    Inventors: JORDAN E. FISHER, DANIEL L. FISCHETTI, Nicholas J. LOCASCIO
  • Publication number: 20190156273
    Abstract: Systems and techniques are provided for tracking inventory items in an area of real space. A plurality of cameras, or other sensors, produce respective sequences of images in corresponding fields of view in the real space. The field of view of each camera overlaps with the field of view of at least one other camera. The system is coupled to the plurality of cameras and uses the sequences of images produced by at least two cameras in the plurality of cameras to identify inventory events. The inventory event includes an item identifier, a location and a timestamp. A plurality of cells having coordinates in the area of real space are stored as a data set in the memory. The processing system calculates scores at a scoring time, for inventory items having locations matching particular cells using respective counts of inventory events.
    Type: Application
    Filed: January 24, 2019
    Publication date: May 23, 2019
    Applicant: STANDARD COGNITION, CORP
    Inventors: JORDAN E. FISHER, DANIEL L. FISCHETTI, Michael S. SUSWAL, Nicholas J. LOCASCIO
  • Publication number: 20190156276
    Abstract: Systems and techniques are provided for tracking inventory items in an area of real space including inventory display structures. A plurality of cameras are disposed above the inventory display structures. The cameras in the plurality of cameras produce respective sequences of images in corresponding fields of view in the real space. A memory stores a map of the area of real space identifying inventory locations on inventory display structures. The system is coupled to a plurality of cameras and uses the sequences of images produced by at least two cameras in the plurality of cameras to find a location of an inventory event in three dimensions in the area of real space. The system matches the location of the inventory event with an inventory location.
    Type: Application
    Filed: January 24, 2019
    Publication date: May 23, 2019
    Applicant: STANDARD COGNITION, CORP
    Inventors: JORDAN E. FISHER, DANIEL L. FISCHETTI, Nicholas J. LOCASCIO
  • 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