Tata Consultancy Services Limited

Vineet Lall

Balamuralidhar Purushothaman

Jayavardhana Rama Gubbi Lakshminarasimha

Karthik Seemakurthy

Rishin Raj

Vishnu Hariharan Anand

Vishal Bajpai

Mahesh Rangarajan

Gourav Singh Jat

Shashank Lipate

Kavita Sara Mathew

Dinesh Sasidharan Nair

Pradeep Kumar Mishra

Gangadhar Shankarappa

Meghala Mani

Vishwa Chethan Dandenahalli Venkatappa

Sasidharan Dinesh Nair

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.

Identification of defect types in liquid pipelines for classification and computing severity thereof

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Bengaluru, India

Vineet Lall