Artificial intelligence-assisted visual inspection for cultural heritage: State-of-the-art review

Applying computer science techniques such as artificial intelligence (AI), deep learning (DL), and computer vision (CV) on digital image data can help monitor and preserve cultural heritage (CH) sites. Defects such as weathering, removal of mortar, joint damage, discoloration, erosion, surface cracks, vegetation, seepage, and vandalism and their propagation with time adversely affect the structural health of CH sites. Several studies have reported damage detection in concrete and bridge structures using AI techniques. However, few studies have quantified defects in CH structures using the AI paradigm, and limited case studies exist for their applications. Hence, the application of AI-assisted visual…

• MD
  Ministério da Ciência, Tecnologia e Ensino Superior

  Award: UIDB / 04029/2020
• FP
  Fundação para a Ciência e a Tecnologia
• HM
  H2020 Marie Skłodowska-Curie Actions

  Award: 101063722