Patents by Inventor Abhishek Kumar Jaiswal

Abhishek Kumar Jaiswal 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 prediction and mitigation of spontaneous combustion in coal stock piles
    Patent number: 11170217
    Abstract: A method for predicting conditions associated with a coal stock pile is described. The method includes collecting aerial data for a site including one or more coal stock piles. Using the aerial data, the method includes performing localization of the site to identify boundaries of the coal stock piles and extracting multi-spectral features. The method also includes obtaining additional data associated with the coal stock piles from at least one data source and merging the aerial data with the additional data. Using the merged data and the extracted multi-spectral features, the method includes analyzing a status of the coal stock piles by a prediction module to predict at least one of an impending combustion event or a severe condition associated with the coal stock piles. In response to the predicted at least one impending combustion event or severe condition, the method includes implementing a response.
    Type: Grant
    Filed: August 30, 2019
    Date of Patent: November 9, 2021
    Assignee: Accenture Global Solutions Limited
    Inventors: Bhushan Gurmukhdas Jagyasi, Abhijeet Chowdhary, Ramaa Gopal Varma Vegesna, Nasiruddin Mohammad, Pallavi S. Gawade, Urvi Suresh Shah, Abhishek Kumar Jaiswal, Akash Manikrao Jadhav, Bolaka Mukherjee
  • Method and System for Prediction and Mitigation of Spontaneous Combustion in Coal Stock Piles
    Publication number: 20210064848
    Abstract: A method for predicting conditions associated with a coal stock pile is described. The method includes collecting aerial data for a site including one or more coal stock piles. Using the aerial data, the method includes performing localization of the site to identify boundaries of the coal stock piles and extracting multi-spectral features. The method also includes obtaining additional data associated with the coal stock piles from at least one data source and merging the aerial data with the additional data. Using the merged data and the extracted multi-spectral features, the method includes analyzing a status of the coal stock piles by a prediction module to predict at least one of an impending combustion event or a severe condition associated with the coal stock piles. In response to the predicted at least one impending combustion event or severe condition, the method includes implementing a response.
    Type: Application
    Filed: August 30, 2019
    Publication date: March 4, 2021
    Inventors: Bhushan Gurmukhdas Jagyasi, Abhijeet Chowdhary, Ramaa Gopal Varma Vegesna, Nasiruddin Mohammad, Pallavi S. Gawade, Urvi Suresh Shah, Abhishek Kumar Jaiswal, Akash Manikrao Jadhav, Bolaka Mukherjee