Ciena Corporation

Hari Pabbati

Aung Htay

Paul Hudgins

Marek Gimza

Systems and methods include receiving visual representations of components in network elements in a network; responsive to training a machine learning model to evaluate the visual representations, analyzing the visual representations using the machine learning model to determine a status of the components; and providing the status of the components to an inventory application for any of updating the inventory application and reconciling existing data in the inventory application.

Utilizing images to evaluate the status of a network system

Methods for evaluating a system to determine the status of the system are provided in the present disclosure. In one implementation, a method may be configured to include a step of obtaining one or more visual representations of one or more components of a network system. Responsive to training a Machine Learning (ML) model to evaluate the one or more components of the network system, the method may also include a step of analyzing the one or more visual representations using the ML model for evaluating a status of the one or more components of the network system.

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Cumming, GA, United States of America

Hari Pabbati