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.
Fields of science
- engineering and technologycivil engineeringstructural engineeringstructural health monitoring
- natural sciencesbiological sciencesmicrobiologyphycology
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringroboticsautonomous robotsdrones
- natural sciencescomputer and information sciencesartificial intelligencemachine learningdeep learning
- natural sciencescomputer and information sciencesartificial intelligencecomputational intelligence
Programme(s)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Funding Scheme
HORIZON-AG-UN - HORIZON Unit GrantCoordinator
4704 553 Braga
Portugal
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Partners (1)
20133 Milano
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