Every inspection run generates far more footage and sonar data than any human reviewer could examine in real time. Our onboard AI models exist to change that ratio, flagging the handful of frames that actually need an engineer's attention out of hours of raw feed.
The models are trained on a growing library of annotated subsea imagery: corrosion, coating damage, free-spanning pipe sections, marine growth and third-party interference. Each new inspection campaign adds to that library under expert review.
In the field, the models run close to the vehicle, scoring anomalies as they are seen and building a ranked list that is ready for our engineers before the vehicle has even surfaced.
“We are not trying to replace the inspection engineer's judgement, we are trying to get the right footage in front of them faster.”
Want to know more about how we run engagements like this one? Get in touch with our team and we will walk you through the details.
