2023-03-06, 15:00–15:30, 01.S.21 (1st floor)
In this talk, we will demonstrate our patented, learning-based technology (MapScale) for automated conversion of technical drawings to indoor maps.
MapScale is a learning-based patented technology (Pointr Inc.) which takes architectural floor plans and convert them into semantically classified indoor maps. With this talk, we want to share the interesting challenges we faced and how we overcome these challenges with the help of the geo-python community.
We approach the problem of automated conversion of technical drawings as a computer vision problem combined with classical geospatial techniques. Our pipeline includes but not limited to state-of-the-art object detection, object segmentation and textual information processing algorithms. We will also explain how we managed to have scalable deployments of such geospatial pipelines. Finally, we will explain our solution to maintain the pipeline from a MLOps point-of-view.