Patents by Inventor Grigorij Olegovich Alekseenko

Grigorij Olegovich Alekseenko 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: 20210334758
    Abstract: This invention relates to the use of artificial neural networks in computer vision, and more specifically to the systems and methods for analyzing and processing video data and metadata received from video cameras for automatic generation of reports based on the results obtained and thus providing control over the actions of employees. A system for generation of reports based on analysis of location and interaction between employees and visitors, comprising a memory, image capture device, a graphical user interface (GUI) and data processing device.
    Type: Application
    Filed: October 19, 2020
    Publication date: October 28, 2021
    Inventors: Egor Petrovich Suchkov, Vardan Taronovich Margaryan, Grigorij Olegovich Alekseenko, Alan Zhasharbekovich Ataev, Karen Vitalyevich Nalchadzhi
  • Publication number: 20210271704
    Abstract: The disclosure relates to the field of applying artificial neural networks in computer vision, and more specifically to the systems and methods for processing the video data received from video cameras for automatic identification of various objects. The system for identifying the objects in the composite object comprises a graphical user interface (GUI), memory, image capture device, and data processing device. The data processing device includes a video data receipt module, an image analysis module, a segmentation module, an identification module, and an output module. The method for identifying the objects in the composite object comprises stages in which video data is received from the image capture device in real time; video data analysis is performed in order to detect a composite object in the frame; the resulting image is segmented; the object is identified using a different artificial neural network in each of the individual object images; the identification result is displayed on the screen.
    Type: Application
    Filed: July 24, 2020
    Publication date: September 2, 2021
    Inventors: Egor Petrovich Suchkov, Egor Yurevich Lvov, Vardan Taronovich Margaryan, Grigorij Olegovich Alekseenko