公开(公告)号：US11790518B2

公开(公告)日：2023-10-17

申请号：US17357210

申请日：2021-06-24

申请人： Tata Consultancy Services Limited

发明人： 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

IPC分类号： G06T7/00 ,  G06T7/11 ,  G06V10/44 ,  G01N21/88 ,  G06T5/00 ,  G06T7/136 ,  G06T7/168 ,  G06V10/25 ,  G06T5/20

CPC分类号： G06T7/0006 ,  G01N21/8851 ,  G06T5/007 ,  G06T5/20 ,  G06T7/11 ,  G06T7/136 ,  G06T7/168 ,  G06V10/25 ,  G06V10/443 ,  G01N2021/8877 ,  G01N2021/8893 ,  G06T2207/10016

摘要： 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.

公开(公告)号：US20220036541A1

公开(公告)日：2022-02-03

申请号：US17357210

申请日：2021-06-24

申请人： Tata Consultancy Services Limited

发明人： 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

IPC分类号： G06T7/00 ,  G06K9/32 ,  G06K9/46 ,  G06T5/20 ,  G06T5/00 ,  G06T7/11 ,  G06T7/168 ,  G06T7/136 ,  G01N21/88

摘要： 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.