Pointly AI Processing Engine for 3D Point Cloud Analysis
This presentation introduces the Pointly AI Processing Engine and demonstrates how AI can transform unclassified 3D point cloud data into structured and actionable outputs. Starting with raw LiDAR data, we explore automated semantic classification, object detection and vectorization. The presentation also covers the extraction of object attributes, positions and geometries as well as advanced analysis such as vegetation encroachment and clearance detection. Practical examples from infrastructure applications demonstrate how these automated workflows can reduce manual processing and turn large point cloud datasets into ready to use geospatial information.
