Patents by Inventor Pradip A. Waykos

Pradip A. Waykos 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).

  • Crowd detection, analysis, and categorization
    Patent number: 10706289
    Abstract: A method, computer system, and a computer program product for analyzing a crowd using a plurality of images captured by an aerial drone is provided. The present invention may include determining a geographic area associated with the crowd. The present invention may also include partitioning the determined geographic area into a plurality of zones. The present invention may then include determining a flight path covering each zone within the plurality of zones. The present invention may further include receiving the plurality of images from the aerial drone. The present invention may also include analyzing the received plurality of images to identify a plurality of individuals associated with the crowd. The present invention may then include predicting a plurality of crowd characteristics based on the analyzed plurality of images. The present invention may further include performing an action in response to the predicted plurality of crowd characteristics.
    Type: Grant
    Filed: March 3, 2017
    Date of Patent: July 7, 2020
    Assignee: International Business Machines Corporation
    Inventors: Silpi Dhua, Anil M. Omanwar, Sujoy Sett, Pradip A. Waykos
  • CROWD DETECTION, ANALYSIS, AND CATEGORIZATION
    Publication number: 20180253605
    Abstract: A method, computer system, and a computer program product for analyzing a crowd using a plurality of images captured by an aerial drone is provided. The present invention may include determining a geographic area associated with the crowd. The present invention may also include partitioning the determined geographic area into a plurality of zones. The present invention may then include determining a flight path covering each zone within the plurality of zones. The present invention may further include receiving the plurality of images from the aerial drone. The present invention may also include analyzing the received plurality of images to identify a plurality of individuals associated with the crowd. The present invention may then include predicting a plurality of crowd characteristics based on the analyzed plurality of images. The present invention may further include performing an action in response to the predicted plurality of crowd characteristics.
    Type: Application
    Filed: March 3, 2017
    Publication date: September 6, 2018
    Inventors: Silpi Dhua, Anil M. Omanwar, Sujoy Sett, Pradip A. Waykos
  • CROWD DETECTION, ANALYSIS, AND CATEGORIZATION
    Publication number: 20180253606
    Abstract: A method, computer system, and a computer program product for analyzing a crowd using a plurality of images captured by an aerial drone is provided. The present invention may include determining a geographic area associated with the crowd. The present invention may also include partitioning the determined geographic area into a plurality of zones. The present invention may then include determining a flight path covering each zone within the plurality of zones. The present invention may further include receiving the plurality of images from the aerial drone. The present invention may also include analyzing the received plurality of images to identify a plurality of individuals associated with the crowd. The present invention may then include predicting a plurality of crowd characteristics based on the analyzed plurality of images. The present invention may further include performing an action in response to the predicted plurality of crowd characteristics.
    Type: Application
    Filed: September 28, 2017
    Publication date: September 6, 2018
    Inventors: Silpi Dhua, Anil M. Omanwar, Sujoy Sett, Pradip A. Waykos