{"id":8610,"date":"2024-10-30T17:07:30","date_gmt":"2024-10-30T16:07:30","guid":{"rendered":"https:\/\/www.centrorestaurovenaria.it\/?post_type=progetti-ricerca&p=8610"},"modified":"2025-06-19T11:06:08","modified_gmt":"2025-06-19T09:06:08","slug":"ai4heritage-artificial-intelligence-for-damage-detection-and-reporting-in-artistic-heritage","status":"publish","type":"progetti-ricerca","link":"https:\/\/www.centrorestaurovenaria.it\/eng\/progetti-ricerca\/ai4heritage-artificial-intelligence-for-damage-detection-and-reporting-in-artistic-heritage\/","title":{"rendered":"AI4Heritage. Artificial Intelligence for Damage Detection and Reporting in Artistic Heritage"},"content":{"rendered":"
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31\/12\/2025<\/span><\/p>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><\/div><\/div>

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As part of the PNRR Call for Proposals \"Cascading Fund of the Innovation Ecosystem for Businesses\" NODES, Line A, Spoke n. 3 \u2013 Tourism and Culture Industry, the CCR, in collaboration with WEREA S.r.l., submitted a project proposal titled AI4Heritage, ranking first in the list of funded projects across all of North-West Italy. The project aims to develop advanced systems for monitoring the conservation status of artworks through high-resolution 3D scanning and the application of Artificial Intelligence for the automatic recognition of degradation. Specifically, the developed algorithms are capable of detecting differences between two scans of the same object and identifying the presence of anomalies according to a recognized technical classification.<\/p>\n

The goal of the project is to integrate and optimize existing technologies available individually on the market, enabling an efficient, low-cost, reliable, and highly effective art monitoring process.<\/p>\n\n\t\t<\/div>\n\t<\/div>\n

<\/i> Read more<\/a><\/div><\/div><\/div><\/div>
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Country\/Area<\/span><\/strong>
\nItaly<\/span><\/p>\n\n\t\t<\/div>\n\t<\/div>\n\n\t

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Period of performance
\n<\/span><\/strong>2024 \u2013 2025
\nOngoing<\/span><\/p>\n\n\t\t<\/div>\n\t<\/div>\n\n\t

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Duration<\/span><\/strong>
\n15 months<\/span><\/p>\n\n\t\t<\/div>\n\t<\/div>\n\n\t

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Scope
\n<\/span><\/strong>Research<\/p>\n\n\t\t<\/div>\n\t<\/div>\n\n\t

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Client
\nMinistry of Culture Directorate General Museums<\/span>
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Coordinator
\nWired enterprise re-enhancement of assets (WEREA srl)<\/span>
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Science<\/h3>\n\n\t\t<\/div>\n\t<\/div>\n\n\t
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The Scientific Laboratories carry out diagnostic and research activities applied to Cultural Heritage with advanced technological tools, including an innovative radio-tomographic machine for digital radiographs and CT scans of large objects.<\/p>\n\n\t\t<\/div>\n\t<\/div>\n

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Training<\/h3>\n\n\t\t<\/div>\n\t<\/div>\n\n\t
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The School of Higher Education and Study (SAF) organizes and manages training and professional development courses and, thanks to the agreement with the University of Turin, participates in the organization of the Degree Course.<\/p>\n\n\t\t<\/div>\n\t<\/div>\n

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Documentation<\/h3>\n\n\t\t<\/div>\n\t<\/div>\n\n\t
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The Center develops and conducts activities of documentation and enhancement of archival and bibliographic funds of particular importance for the conservation and restoration of cultural heritage.<\/p>\n\n\t\t<\/div>\n\t<\/div>\n

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<\/span><\/div><\/div><\/div><\/div><\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"31\/12\/2025 In the context of the NRRP call for tenders for a waterfall call for the innovation ecosystem for NODES companies, Line A, Spoke No 3 \u2013 Tourism and Culture Industry, the JRC, together with WEREA S.r.l., has submitted a project proposal entitled AI4Heritage, ranking first in the ranking of projects financed throughout North-West Italy. The ... Read more<\/a>","protected":false},"author":9,"featured_media":8616,"menu_order":0,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"class_list":["post-8610","progetti-ricerca","type-progetti-ricerca","status-publish","format-standard","has-post-thumbnail","hentry"],"yoast_head":"\nAI4Heritage. Artificial Intelligence for damage detection and reporting in artistic Heritage - CCR Centro Conservazione Restauro<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.centrorestaurovenaria.it\/eng\/progetti-ricerca\/ai4heritage-artificial-intelligence-for-damage-detection-and-reporting-in-artistic-heritage\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI4Heritage. 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