Wipro Limited

District of Columbia Water & Sewer Authority

LaShema M Burrell

Douglas W Adams

Deepak Dinkar

Thomas L Kuczynski

Hari Kurup

Nichol Sowell

Rupesh Wasudevrao Kumbhare

Saravanan Solaiyappan

Chad Rogers

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.

Method and system for detection of anomalies in surfaces

Growing community of inventors

Temple Hills, MD, United States of America

LaShema M Burrell