Identify what has changed in your 3D spatial world.
Overview
Use Case
Imagine sending a tiny drone into a hotel room. A minute later, you have a list of what was left behind and what needs to be replenished, with an estimate of how long it would take, with and without robots doing the work.
https://www.linkedin.com/learning/from-drone-to-autocad-the-workflow/working-with-point-clouds-in-autocad
Welcome to the world of 3D data processing: spatial algorithms on digital twin semantic representation, statistical analysis, and computational geometry that transforms raw point cloud data into actionable intelligence.
3D change detection finds meaningful differences while filtering out everything else.
https://medium.com/data-science-collective/smart-3d-change-detection-python-tutorial-for-point-clouds-0dfd9945eb6a
“traditional methods of tracking these changes remain painfully manual, error-prone, and time-consuming”
a Python-powered system that:
Automatically aligns multi-temporal 3D scans with millimeter precision Identifies missing or damaged building components in seconds Generates reports that stakeholders understand Scales from single buildings to entire infrastructure networks
Algorithms and techniques enable spatial reasoning and decision making.
References
https://learning.oreilly.com/library/view/3d-data-science/9781098161323/ BOOK: “3D Data Science with Python” April 2025 by Florent Poux, Ph.D. (Toulouse, France)
- Introduction to 3D Data Science
- Resources and Software Essentials
- 3D Python and 3D Data Setup
- 3D Data Representation and Structuration
- Developing a Multimodal 3D Viewer with Python
- Point Cloud Data Engineering
- Building 3D Analytical Apps
- 3D Data Analysis
- 3D Shape Recognition
- 3D Modeling: Advanced Techniques
- 3D Building Reconstruction from LiDAR Data
- 3D Machine Learning: Clustering
- Graphs and Foundation Models for Unsupervised Segmentation
- Supervised 3D Machine Learning Fundamentals
- 3D Deep Learning with PyTorch
- PointNet for 3D Object Classification
- The 3D Data Science Workflow
- From 3D Generative AI to Spatial AI
Our physical world is grounded in three dimensions. To create technology that can reason about and interact with it…
References
Voxels
3D Geodata Academy
https://learngeodata.eu/3d-newsletter/