For global manufacturing enterprises or other industries that rely on automated machinery across locations, the ability to keep tabs on asset performance becomes crucial. While manual supervision has worked well in such scenarios, there is a definite opportunity to optimize costs here. That's by enabling virtual monitoring and logging of asset performance data.
Our team recently built a solution for this use case using machine learning solutions from AWS. It was designed to remotely capture video on machine performance and create logs of when the asset/machine was in operation and for how long.