Intro

Sudden seismic events, such as earthquakes, can have a major impact on buildings. Older buildings like churches, are more likely to collapse since they were not designed to withstand earthquakes.

Post-earthquake, expert engineers are needed to monitor the churches’ structure and save the artistic assets. However, these evaluations can be subjective, inefficient, and dangerous due to the increased structural vulnerability post-earthquake.

In this work, 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.

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

About

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