This paper focuses on a process to communicate and enhance cultural heritage value. In this context, one of the main challenges is to combine its value with digital strategies and methods without losing information and increasing communication and public-private involvement. The paper proposes a methodology that uses BIM (Building Information Modeling) and CDE (Common Data Environment) concepts to build and organize information of paintings through connected databases, typically pro-duced by multiple actors. A case study in San Nicolò in Carpi verifies its application. An Instagram pro-file has been created transferring data from BIM models to Spark AR Studio to demonstrate a meth-od that creates an Augmented Reality application for cultural heritage, without the need of coding.
Automatic Recognition Through Deep Learning of Standard Forms in Executive Projects
In this paper is presented a possible methodology for automation through the use of deep learning of BIM modeling starting from different types of formats, such as digital processing of paper documents and CAD formats. The work is configured as a proof of concept of a possible contribution that a technique currently scarcely used in the architectural field such as deep learning can bring to the design, in particular in the realization of the information model, which today represents one of the most consuming–time activities.