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Machine Learning for Structural Health Monitoring of Cultural Heritage

Project description

Using computers and drones to preserve historical sites

Machine learning, computer-vision and other digital technologies can help monitor and preserve World Heritage sites. This is particularly important in Europe, which boasts some 400 UNESCO sites – from the Acropolis in Athens to the historic city of Verona in Italy. The Marie Skłodowska-Curie Actions (MSCA) project MLCULT will develop techniques to diagnose damage of cultural heritage buildings. It will design a model trained from the database of earthquake-damaged cultural heritage buildings. Several typologies of damage indicators will be identified and quantified, due to weathering, moisture ingress, algae growth, and efflorescence. A prototype inspection system using drone-based real-time damage detection will be demonstrated, specifically for building damage. It can help in identifying structural anomalies that need urgent repair.

Coordinator

UNIVERSIDADE DO MINHO
Net EU contribution
€ 172 618,56
Address
Largo Do Paco
4704 553 Braga
Portugal

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Region
Continente Norte Cávado
Activity type
Higher or Secondary Education Establishments
Other funding
No data

Partners (1)

POLITECNICO DI MILANO
Italy
Net EU contribution
€ 0,00
Address
Piazza Leonardo Da Vinci 32
20133 Milano

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Region
Nord-Ovest Lombardia Milano
Activity type
Higher or Secondary Education Establishments
Other funding
No data