Not all blade inspections are created equal.

A skilled pilot can collect excellent data manually. But when you’re inspecting hundreds of turbines, consistency becomes just as important as image quality.

Here are five areas where autonomous inspections make a real difference:

☀️ Sun position
The sun moves constantly. If pilot and flight paths don’t account for it, some images can end up overexposed while others are too dark. Autonomous inspections plan around lighting conditions and modify exposure to keep image quality consistent.

🔄 Blade identification
When inspecting all three blades together, knowing whether you’re looking at A-B-C or A-C-B matters. Automated workflows keep blade order consistent from inspection to inspection.

📏 Inspection distance
Small changes in distance affect image resolution and subsequent data processing. Autonomous flights maintain the same distance away throughout the inspection.

📸 Image overlap
Too little overlap creates gaps. Too much creates unnecessary data. Automated inspections capture the right amount every time. Sometimes manual inspections include too many images.

⚙️ Processing speed
Data from autonomous inspections is ready for processing immediately. Manual inspections often require additional quality checks before analysis can begin.

Good inspections start in the field. Great inspections start with consistency.