The aim of the project is to develop efficient methods for the generation of a building information model (as-built BIM), the use of which will be digital care (e-health) as an application example. Thereby the potential of consumer-supported technologies and adaptive algorithms from the field of artificial intelligence (AI) will be used to partially automate the previously labor-intensive labor-intensive process chain will be partially automated.
Against the backdrop of growing needs of an aging population scientists at i3mainz are working in close cooperation with the iib of the TU Darmstadt are realizing future concepts of a digital care process of the future. The care at home is a scenario that is in demand and is characterized by a high degree of individuality. a high degree of individuality.
In connection with building-related methods, care activities can be mapped and can be mapped and offered digitally without further ado. The modeling of a integrated sensors for care purposes represents a diverse field of research that field of research, to which Bastian Plaß dedicates himself in the context of his dissertation. dissertation.
Based on identified requirements of home care, two projects were initiated in Q3 2020. On the one hand, this is a student-supported project with the goal of evaluating suitable 3D technologies for data acquisition from different market areas. The second project builds on these results and evaluates living spaces based on sensory representation (3D point cloud) in the context of a patient’s physical condition.
The results of both projects are expected in Q1 of the following year. For 2021, the scientists set the goal of applying novel methods from AI to the use case and to intensify the scientific focus. intensify. With the help of generative networks (GAN), further automated processing of further parts of the process chain.