Intro

Sudden seismic events can have a major impact on historical and monumental buildings. Among them, churches have been proven statistically more vulnerable and, thus, potentially subjected to higher damage level than other. That is due to some specific architectural features, like the presence of quite slender walls.

Post-earthquake, experts engineers and the guardians of monumental buildings are in charge to assess the usability, design provisional interventions (if necessary) to prevent from the worsening of damage and plan operations to save artistic assets (if present). However, these evaluations can be time consuming and dangerous due to the potential increased structural vulnerability induced by damage.

In this work, a tool to speed up in the future the in-situ inspection is proposed. In particular, images of the inside walls are collected in a safe and effective manner using drones, 360 cameras and laser scanners mounted on top of a robot and automatically processed to detect the presence of cracks.

Work

Cracks are detected on the acquired images using a CNN model, like the one in the picture above.

We classify images patch by patch, in order to have more data and it also gives us approximate crack locations.

In the end, the classified patches are reconstructed and the final results are produced as in the image below

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