Data, Models and Computer Vision: Three Hands-on Projects

Advances in information and communication technologies unveil unprecedented opportunities in the documentation and analysis of architectural and urban assets. Nevertheless, the (over–)abundance of data does not always seem sufficient for a thorough understanding. This contribution summarizes three connected research experiences that produced apps and prototypes exploiting geospatial databases, AI for image recognition, and AR based on model tracking, applied to built heritage contexts. The three cases contribute to a reflection on the interpretation of the form of the built environment as a means to produce shared knowledge and operational outcomes.