AI-powered solutions for reality capture data

Point cloud classification and feature extraction are the critical building blocks of nearly every reality capture solution. But even with small datasets, traditional manual methods of data extraction are time-consuming and prone to human error. With today's aerial, terrestrial and mobile mapping scanners collecting millions of points per second over large areas, the highly detailed point clouds can be overwhelming and difficult to manage. Streamlined workflows incorporating artificial intelligence (AI) help to avoid shifting the time saved in the field to lengthy processing of high -volume data in the office. Seamlessly integrating multiple AI techniques and traditional algorithms in one solution simplifies the functionality and improves performance.