Quality in inspections isn’t only about the images you capture.

It’s also about repeatability.

If two inspections of the same turbine produce completely different results, comparing damage progression becomes difficult.

The Dhalion system was designed with condition monitoring and repeatability in mind.

The drone follows a predefined automatic flight path, capturing images at consistent positions every time. During processing, the matching system aligns inspection images with centimetre-level accuracy.

That combination, consistent flight and precise image matching, makes it possible to compare inspections across time, across turbines, and even across different pilots.

That together with our side by side display helps the end user have control of the inspection data and monitor changes across time.

When the process stays stable, the data becomes far more useful.

And that’s where real insight starts to appear and we can talk about condition monitoring and preventative maintenance.