Reading Legacy 2D plans with Machine Learning

As Chief Science Officer of BeamUP, Dr. Austern invented and helped develop a unique process which converts unstructured, 2D CAD files to intelligent 3-dimensional models which represent building geometry. BeamUP’s process combines geometric and statistical Heuristic algorithms, with state-of-the-art Machine Learning models. The process can automatically identify space boundaries, architectural elements such as walls, doors, windows, and furniture, as well as contextual and topological relationships with a high degree of precision. Dr. Austern work on this project is protected by several US patents.