This post is co-written with Travis Bronson, and Brian L Wilkerson from Duke Energy
Machine learning (ML) is transforming every industry, process, and business, but the path to success is not always straightforward. In this blog post, we demonstrate how Duke Energy, a Fortune 150 company headquartered in Charlotte, NC., collaborated with the AWS Machine Learning Solutions Lab (MLSL) to use computer vision to automate the inspection of wooden utility poles and help prevent power outages, property damage and even injuries.
The electric grid is made up of poles, lines and power plants to generate and deliver electricity to millions of homes and businesses. These utility poles are critical infrastructure components and subject to various environmental factors such as wind, rain and snow, which can cause wear and tear on assets. It’s critical that utility poles are regularly inspected and maintained to prevent failures that can lead to power outages,

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