Patents by Inventor Gangadhar Shankarappa

Gangadhar Shankarappa 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).

  • Identification of defect types in liquid pipelines for classification and computing severity thereof
    Patent number: 11790518
    Abstract: Current inspection processes employed for pipeline networks data acquisition aided with manually locating and recording defects/observations, thus leading labor intensive, prone to error and a time-consuming task thereby resulting in process inefficiencies. Embodiments of the present disclosure provide systems and methods for that leverage artificial intelligence/machine learning models and image processing techniques to automate log and data processing, reports and insights generation thereby reduce dependency on manual analysis, improve annual productivity of survey meterage and bring in process and cost efficiencies into overall asset health management for utilities, thereby enhancing accuracy in defect identification, analysis, classification thereof.
    Type: Grant
    Filed: June 24, 2021
    Date of Patent: October 17, 2023
    Assignee: Tata Consultancy Services Limited
    Inventors: Jayavardhana Rama Gubbi Lakshminarasimha, Mahesh Rangarajan, Rishin Raj, Vishnu Hariharan Anand, Vishal Bajpai, Vishwa Chethan Dandenahalli Venkatappa, Pradeep Kumar Mishra, Gourav Singh Jat, Meghala Mani, Gangadhar Shankarappa, Dinesh Sasidharan Nair, Shashank Lipate, Vineet Lall, Kavita Sara Mathew, Karthik Seemakurthy, Balamuralidhar Purushothaman
  • IDENTIFICATION OF DEFECT TYPES IN LIQUID PIPELINES FOR CLASSIFICATION AND COMPUTING SEVERITY THEREOF
    Publication number: 20220036541
    Abstract: Current inspection processes employed for pipeline networks data acquisition aided with manually locating and recording defects/observations, thus leading labor intensive, prone to error and a time-consuming task thereby resulting in process inefficiencies. Embodiments of the present disclosure provide systems and methods for that leverage artificial intelligence/machine learning models and image processing techniques to automate log and data processing, reports and insights generation thereby reduce dependency on manual analysis, improve annual productivity of survey meterage and bring in process and cost efficiencies into overall asset health management for utilities, thereby enhancing accuracy in defect identification, analysis, classification thereof.
    Type: Application
    Filed: June 24, 2021
    Publication date: February 3, 2022
    Applicant: Tata Consultancy Services Limited
    Inventors: Jayavardhana Rama Gubbi Lakshminarasimha, Mahesh Rangarajan, Rishin Raj, Vishnu Hariharan Anand, Vishal Bajpai, Vishwa Chethan Dandenahalli Venkatappa, Pradeep Kumar Mishra, Gourav Singh Jat, Meghala Mani, Gangadhar Shankarappa, Dinesh Sasidharan Nair, Shashank Lipate, Vineet Lall, Kavita Sara Mathew, Karthik Seemakurthy, Balamuralidhar Purushothaman