MillerKnoll, Inc.
Generating Space Models and Geometry Models Using a Machine Learning System with Multi-Platform Interfaces

Abstract:

Aspects of the disclosure relate to geometry model generation. A computing platform may receive a plurality of drawing models corresponding to different space designs. The computing platform may identify a plurality of design parameters associated with each drawing model of the plurality of drawing models corresponding to the different space designs. The computing platform may train a machine learning engine based on the plurality of drawing models corresponding to the different space designs and the plurality of design parameters associated with each drawing model of the plurality of drawing models corresponding to the different space designs, which may produce at least one geometry model corresponding to the plurality of drawing models. The computing platform may store, in a database storing one or more additional geometry models, the at least one geometry model corresponding to the plurality of drawing models.