Patents by Inventor Rupesh Wasudevrao KUMBHARE

Rupesh Wasudevrao KUMBHARE 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).

  • Method and system for detection of anomalies in surfaces
    Patent number: 11151713
    Abstract: A method and a system are described for detection of anomalies in surfaces, such as pipes. The method includes receiving an input comprising surface material type and plurality of frames of a real-time video stream associated with the surface. The method includes eliminating unwanted frames based on magnitude of 2-Dimensional optical flow vectors of the plurality of frames. The method includes identifying potential anomaly frames based on contours in a dense map created using a magnitude of displacement of each pixel of a frame. The method includes detecting in real-time anomalies in anomaly frames from potential anomaly frames based on trained models selected from a Model Mapping Table. The method includes classifying anomalies in the anomaly frames into anomaly classes using one or more deep learning techniques. The method includes generating a health report comprising anomalies in anomaly frames associated with the surface and providing health report to a user.
    Type: Grant
    Filed: September 18, 2019
    Date of Patent: October 19, 2021
    Assignees: Wipro Limited, District of Columbia Water & Sewer Authority
    Inventors: Rupesh Wasudevrao Kumbhare, Deepak Dinkar, Saravanan Solaiyappan, Douglas Adams, Thomas L. Kuczynski, Hari Kurup, Nichol Sowell, Chad Rogers, LaShema M. Burrell
  • METHOD AND SYSTEM FOR DETECTION OF ANOMALIES IN SURFACES
    Publication number: 20210082098
    Abstract: A method and a system are described for detection of anomalies in surfaces, such as pipes. The method includes receiving an input comprising surface material type and plurality of frames of a real-time video stream associated with the surface. The method includes eliminating unwanted frames based on magnitude of 2-Dimensional optical flow vectors of the plurality of frames. The method includes identifying potential anomaly frames based on contours in a dense map created using a magnitude of displacement of each pixel of a frame. The method includes detecting in real-time anomalies in anomaly frames from potential anomaly frames based on trained models selected from a Model Mapping Table. The method includes classifying anomalies in the anomaly frames into anomaly classes using one or more deep learning techniques. The method includes generating a health report comprising anomalies in anomaly frames associated with the surface and providing health report to a user.
    Type: Application
    Filed: September 18, 2019
    Publication date: March 18, 2021
    Inventors: Rupesh Wasudevrao KUMBHARE, Deepak DINKAR, Saravanan SOLAIYAPPAN, Douglas ADAMS, Thomas L. KUCYNSKI, Hari KURUP, Nichol SOWELL, Chad ROGERS, LaShema M. BURRELL