ScoutDI

Finding cracks is only the first step. Tracking how they change is what matters. Discover how a navigable 3D crack map helped create a reliable baseline for monitoring infrastructure over future inspection cycles. Read the case study now.

How much inspection time could autonomous capture save across a large concrete structure? At Uniper's hydropower facility, KIWA achieved approximately 50% greater coverage with autonomous capture compared with manual drone flight in the same working time. Read the case study now.

How do you turn a large-scale drone inspection into engineering insight that remains useful years later? See how KIWA moved from autonomous data capture to photogrammetry and an actionable 3D crack map - creating a baseline Uniper can use to compare future inspection cycles. Read the case study now.

Still relying on resource-heavy methods to inspect large concrete structures? At Uniper's Storfinnforsen hydropower facility, KIWA used drone-based inspection to make large-scale data capture practical without months of scaffolding and work at height. Read the case study now.

Better inspection data leads to better maintenance decisions. See how KIWA helped Uniper create a complete digital record of a hydropower dam - making future inspections easier to compare and analyze. Read the case study now.

Manual drone inspection can limit how much of a large structure can be captured in the available working time. During the Uniper inspection, KIWA's autonomous capture achieved approximately 50% greater coverage than manual drone flight in the same working time, while creating a systematic dataset that can support future comparison. Read the case study now.