How IoT is Revolutionizing Maritime Shipping | Canscan Tech’s Jennifer Ivens

Quality & testmachine vision / machine learningAI performance now above human standard after 2 years of accumulated data

The system uses machine learning to automatically inspect shipping containers via existing terminal cameras, identifying damage or missing locks and alerting staff only when issues are found, which replaced manual inspection and increased operational speed.

“we actually do all the evaluation of the container automatically using machine vision. So machine learning, which is an AI technology. And anytime we see something that's problematic … will actually just alert the people at the terminal to dispatch someone to go and have a look at it.”

Logistics & fulfilmentpredictive models

The company plans to use predictive models to anticipate container wear and tear, allowing customers to select higher-grade containers for high-cost commodities to reduce risk and potentially lower insurance costs.

“you can actually bring it to the next level, which is predictive. So we can actually predict the wear and tear of containers and we can anticipate how long that asset is going to be good for transport transporting objects and when it should be repaired and maintained.”