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 evaluated using digital care (e-health) as an application example. 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 process chain.
Against the backdrop of the growing needs of an aging population, researchers at the i3mainz are collaborating closely with the IIB of the Technical University of Darmstadt to produce concepts of a digital care process of the future. Being cared for at home is a scenario that is in demand and is characterized by a high degree of individuality.
In connection with building-related methods, care tasks can be mapped and offered digitally in short order. The modeling of a building and its integrated sensors for the purposes of care represents a diverse field of research, which Bastian Plaß is devoting his dissertation to.
Based on identified requirements of home care, two projects were initiated in Q3 2020. The first is a student-supported project with the aim of evaluating suitable 3D technologies for data acquisition from different market sectors. The second project builds on these results and evaluates home environments 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 goal of the researchers is to apply new methods from AI to the use case and to intensify the scientific focus. By using generative networks (GAN), additional parts of the process chain are to be automatized.