Genpact Luxembourg S.à R.l. II

Genpact Usa, Inc.

Krishna Dev Oruganty

Amit Arora

Siva Tian

Adrita Barari

Chirag Jain

Abhilash Nvs

Nitish Kumar

Edmond John Schneider

Edmond Schneider

Vikram Mahidhar

Methods and computing apparatus are provided for training AI/ML systems and use of such systems for performing image analysis so that the damaged parts of a physical structure can be identified accurately and efficiently. According to one embodiment, a method includes selecting an AI/ML system of a particular type; and training the AI/ML system using a dataset comprising one or more auto-labeled images. The auto-labeling was performed using the selected AI/ML system configured using a parts-identification model. The configuration of the trained AI/ML system is output as an improved parts-identification model.

Semantic image segmentation for cognitive analysis of physical structures

A method and system are provided for assessing damage to a structure. According to one embodiment, the method includes using a classifier that is trained to associate respective portions of in an image of a structure with respective external parts of the structure to detect several of external parts of a structure in a first image of the structure. The method also includes using a first machine learning system, trained to perform segmentation of an image, to identify one or more image segments in a second image, where each image segment represents damage of a particular type and, using a second machine learning system, trained to associate image segments with external parts identified in an image, to associate a first image segment with a first external part, indicating damage to the first external part.

System and method for artificial intelligence based determination of damage to physical structures

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Long Island, NY, United States of America

Krishna Dev Oruganty