Use Cases

We provided a comprehensive image-based inspection solution for damage mapping of SBB Rheinbrücke Eglisau—a culturally significant Swiss landmark constructed between 1895 and 1897. 

Our AI detected cracks at a pixel level in images, and classified each instance based on its width. It also identified around 88'000 individual stones, helping engineers build a clear picture of the stone types and their condition based on the detected damage patterns.

An image-based inspection solution was developed for Bundesamt für Strassen ASTRA to monitor corrosion on a steel truss supporting a sound barrier along a highway in Switzerland.

Two inspection campaigns were carried out, one in 2022 and another in 2023. For each campaign, drone imagery was processed with our AI to segment corrosion areas, and the growth of each instance was assessed while accounting for detection uncertainty.

A customized image-based inspection solution was developed to map damage on both the exterior and interior surfaces of a reinforced concrete bridge abutment owned by Kanton Zürich.

The approach combined drone and handheld camera data collection, enabling the detection of cracks wider than 0.2 mm. Using PRIMA, engineers were able to correlate damage patterns between the inside and outside surfaces.