Patents by Inventor Paul Heinrich Kocyla

Paul Heinrich Kocyla 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).

  • Methods and devices for earth remote sensing using stereoscopic hyperspectral imaging in the visible (VIS) and infrared (IR) bands
    Patent number: 11854256
    Abstract: A hyperspectral stereoscopic CubeSat with computer vision and artificial intelligence capabilities consists of a device and a data processing methodology. The device comprises a number of VIS-NIR-TIR hyperspectral sensors, a central processor with memory, a supervisor system running independently of the imager system, radios, a solar panel and battery system, and an active attitude control system. The device is launched into low earth orbit to capture, process, and transmit stereoscopic hyperspectral imagery in the visible and infrared portions of the electromagnetic spectrum. The processing methodology therein comprises computer vision and convolutional neural network algorithms to perform spectral feature identification and data transformations.
    Type: Grant
    Filed: December 19, 2022
    Date of Patent: December 26, 2023
    Assignee: Acme Atronomatic, LLC
    Inventors: Sarvesh Garimella, Paul Heinrich Kocyla
  • Methods and devices for earth remote sensing using stereoscopic hyperspectral imaging in the visible (VIS) and infrared (IR) bands
    Patent number: 11532155
    Abstract: A hyperspectral stereoscopic CubeSat with computer vision and artificial intelligence capabilities consists of a device and a data processing methodology. The device comprises a number of VIS-NIR-TIR hyperspectral sensors, a central processor with memory, a supervisor system running independently of the imager system, radios, a solar panel and battery system, and an active attitude control system. The device is launched into low earth orbit to capture, process, and transmit stereoscopic hyperspectral imagery in the visible and infrared portions of the electromagnetic spectrum. The processing methodology therein comprises computer vision and convolutional neural network algorithms to perform spectral feature identification and data transformations.
    Type: Grant
    Filed: July 9, 2020
    Date of Patent: December 20, 2022
    Assignee: ACME Atronomatic, LLC
    Inventors: Sarvesh Garimella, Paul Heinrich Kocyla