Perpendicularity in data collection is crucial for accurately assessing damage size, and it’s more important than you might think!

The accuracy of damage measurements depends on the distance and angle at which images are taken. The less perpendicular the capture, the less reliable the results. This is why some manual flights struggle with accuracy—capturing multiple sections from a single point can lead to skewed measurements.

Our AI system takes this to the next level. We prioritise both safety and precision, ensuring that drone path planning and data capture maintain optimal perpendicularity. And, you have the option to further enhance this to get the clearest, most accurate results.

It’s not just about drones—ground-level images must also be as perpendicular as possible for precise damage detection and sizing.

The difference might seem small, but it can have a huge impact. Imagine budgeting for a minor repair only to find out later it’s much bigger because the data wasn’t captured correctly. Some customers have learned the importance of proper data collection the hard way. Don’t make the same mistake—ensure accuracy before planning any repair!