Application of Mechatronics and Deep learning for Acoustic Tomography of the Architectural Heritage to improve structural diagnosis

The application of mechatronics and Deep Learning (DL) to enhance the inspection capabilities of tomographic imaging for the structural diagnosis of architectural heritage requires the adoption of a collaborative multidisciplinary approach, which means the inclusion of specialists in disciplines such as architecture, heritage preservation, construction, topography, physics, non-destructive evaluation, electronics, automation, robotics, civil engineering, telecommunications engineering, signal and image processing, AI, etc. The overall objective of the project is to establish a methodology based on the use of DL algorithms to process tomographic images obtained from robotic inspections in order to optimize the interpretation of the data and extract valuable information from the interior of the walls of architectural heritage. This information should serve to improve the structural diagnosis of these heritage elements.