Detect Construction Changes Automatically
Compare 3D scans across time. Quantify progress. Flag deviations. 3 focused lessons on cloud-to-cloud distance, temporal analysis, and automated construction monitoring pipelines.
See change detection in action
From two scans taken weeks apart to a quantified progress report in minutes.
Accuracy level achievable with proper registration and quality scans.
Students trained worldwide across 80 countries.
Production experience distilled into structured, repeatable workflows.
Two scans. One week apart. What changed?
Your construction client captured a site scan last Monday. They captured another this Monday. Somewhere between the two, walls went up, rebar moved, and a slab was poured. The client wants a colored map of what changed, a volume of added concrete, and a flag on anything that deviates from the BIM model. They want it by end of day.
The gap is not eyeballing scans in CloudCompare. It is building an automated pipeline: register scans, compute point-to-point distances, segment changes, classify them as additions or removals, and export a clean report.
Every active construction site is a stream of scans waiting to be compared. Every facility manager wants to know what shifted since last quarter. Every surveyor who automates this gets hired for the next job. Manual comparison is a bottleneck. Automation is a product. This course builds that automation.
What you’ll build
Three techniques wired into one end-to-end monitoring pipeline.
Cloud-to-cloud distance
Compute C2C distances between scans. Colored difference maps, distance histograms, and thresholded change masks.
Temporal analysis
Track changes across a time series. Compute progress per week, build heatmaps, detect anomalies that deviate from the expected schedule.
Volume + classification
Quantify added and removed material in cubic meters. Classify each change region as construction, demolition, equipment movement, or vegetation.
Automated registration
Align two scans into a common frame. ICP, feature-based matching, and target-based workflows for construction sites.
Construction reporting
Generate clean reports. Per-zone progress, volume estimates, deviation flags. Export to PDF and dashboard formats the client signs off on.
BIM deviation check
Compare as-built scans to the BIM model. Flag elements that are out of tolerance. Output a deviation list per trade.
I built this course after watching construction managers waste days eyeballing scans in CloudCompare. Every technique in here comes from real monitoring contracts where automated change detection turned a weekly manual review into a daily automated dashboard.
How this course works
Compact, hands-on, ship-the-same-week.
100% asynchronous
Access everything 24/7 on the LMS. Self-paced. Finish in an afternoon.
Code-along projects
Complete Python source code and before/after scan pairs from a real construction site. Clone, run, adapt.
Real construction data
Time-series scans from an active construction site. Real registration errors, real noise, real schedule deviations.
Production patterns
Clean APIs, PDF reporting, dashboard integration. Drop-in for a construction monitoring service.
Lifetime access
One payment, permanent access. Every update included.
Upgrade path
This module is part of the Segmentor OS. Your purchase applies as credit if you upgrade.
This is a focused, single-topic course on construction change detection. If you want the full segmentation and analytics stack, consider the Segmentor OS instead. Your purchase applies as credit if you upgrade.
The Curriculum
3 lessons. From raw scan pairs to a construction monitoring pipeline.
Prerequisites
This course requires basic Python and point cloud familiarity.
- Python (mid-level): comfortable with classes, NumPy, virtual environments
- Hardware: 16 GB RAM recommended. No GPU required.
- Basic point cloud experience: understanding of XYZ coordinates and common file formats helpful
No prior change detection or construction monitoring experience required.
Understand the registration pipeline. Why alignment errors kill change detection. Set up a clean baseline.
Compute C2C distances, point-to-plane distances, and signed variants. Turn raw differences into colored maps and histograms.
Chain multiple scans over time. Compute per-week progress, volumes, and deviation flags. Build an automated construction monitoring report.
Your instructor
Dr. Florent Poux
I’ve spent 12+ years in 3D geospatial: from field surveys with total stations to building AI systems for Fortune 500 companies. I published the O’Reilly book on 3D Data Science with Python. I’ve advised startups valued at over 15M EUR. I’ve held a professorship, taught at university, and led R&D for some of the largest organizations in the space.
I don’t teach syntax. I teach judgment. Every module is built around real decisions I’ve faced in production. Which neural renderer fits an industrial inspection job. How to architect a semantic pipeline that doesn’t choke on 500M points. When to use algorithmic methods and when to switch to deep learning.
What students say
Surveyors, BIM managers, and construction engineers from 80 countries.
“Our team processed 200M points for a highway survey. Before this course, we were stuck at 10M with crashes. The memory management module saved us weeks of work.”
“I’m a surveyor with 20 years of field experience. This gave me the Python and AI skills to modernize our entire workflow. Best investment I’ve made in my career.”
“RANSAC plus DBSCAN on a 120M-point mining dataset — segmented, volumetric change detected, and report ready in one afternoon. That used to take a week.”
“This course is the foundation I wish I had when I started with LiDAR. The feature extraction module alone reshaped how I approach every project.”
“I trained my first production segmenter on industrial scans within a week. The labelling and class-imbalance modules saved me from rebuilding the dataset twice.”
“The region-growing plus learned-feature pipeline cut our manual classification work in half on a 600M-point urban dataset. We finally retired the spreadsheet.”
“What I needed was someone showing me how to evaluate a segmenter, not just train one. The metrics module is the part most courses skip and the part that matters.”
“The M3C2 plus learned-feature comparison taught me which method to trust on which kind of dataset. I stopped guessing on quarry monitoring jobs.”
“We monitor coastal erosion with monthly UAV flights. After this course, the change detection report writes itself overnight.”
Get lifetime access
One payment. Every lesson, every update, every line of code.
3D Change Detection
Complete change detection module + source code + real datasets + lifetime updates
- 3 focused lessons (4+ hours)i
- Complete Python source code + datasets
- Cloud-to-cloud distance pipeline
- Temporal analysis and reporting
- BIM deviation checks
- Lifetime access + all future updatesi
- 90-day results guaranteei
Zero-risk guarantee: If you don’t see real results within 90 days, full refund. No questions.
The complete ecosystem
3D AI Architect Program
The complete spatial AI curriculum, delivered in 3 tiers. Pick the depth that matches where you are — Foundations to get moving, Professional for the full OS stack, Ultimate for live access and priority support.
- 3D AI Acceleratori: 17 episodes in 6 acts
- 3D Course Libraryi: 24+ standalone courses
- All 4 OS courses (Professional & Ultimate tiers)
- Neurones 3D software access
- Monthly drop-in sessions with Dr. Poux (Ultimate)
- Spatial AI job and market intel
- Priority support + services access (Ultimate)
- 300+ hours of content
What you’re getting access to
Everything I’ve built over 12+ years, from land surveying in the field to advising 15M EUR startups, compressed into one curriculum you can start today. Delivered by the first QUALIOPI-certified 3D geospatial academy.
Every pipeline was battle-tested on Fortune 500 projects processing billions of points. You’re getting the real playbook, not theory.
Methods validated by peer-reviewed publications, the ISPRS scientific community, and 1,500+ academic citations. Not guesswork.
Built by someone who surveyed in the field, defended a PhD, advised funded startups, and shipped products to Fortune 500 clients.
I share more free content than most people put behind a paywall. That’s intentional. I want you to know exactly what you’re getting before you invest. This course is the concentrated, structured version of everything I know. No fluff. No filler. Just the production path.
Find the right path for you
From single courses to the complete ecosystem.
| Feature | Standalone Course | 3D Change Detection | Course Library | 3D AI Architecti | Enterprise |
|---|---|---|---|---|---|
| Courses included | 1 topic | 3 lessons | Full catalogi | 3 OS courses + Library (tiered) | Custom |
| Hours of content | 2-8h | 4+ hours | 150+ hours | 300+ hours (tiered) | Custom |
| Production source code | ✓ | ✓ | ✓ | ✓ | ✓ |
| Lifetime access | ✓ | ✓ | – | ✓ | ✓ |
| 3D AI Accelerator Tracki | – | – | – | ✓ | ✓ |
| Neurones 3D softwarei | – | – | – | ✓ | ✓ |
| Spatial AI job & market inteli | – | – | – | ✓ | ✓ |
| Monthly drop-in sessionsi | – | – | – | ✓ | ✓ |
| Priority support + services accessi | – | – | – | ✓ tiered | ✓ |
| Custom onboardingi | – | – | – | – | ✓ |
| Team licensing | – | – | – | – | ✓ |
| Price | €97 – €497 | €97 | €1,297 | Starts at €1,999 | On request |
Straight answers
Do I need construction industry experience?
No. The course explains the construction context as we go. You need basic Python and point cloud familiarity.
What hardware do I need?
Minimum 16 GB RAM. No GPU required. All techniques run on CPU.
How is this different from CloudCompare’s built-in C2C tool?
CloudCompare does the raw math once, in a GUI. This course teaches you to automate the full pipeline in Python, chain it across a time series, and export client-ready reports.
Does it work with drone photogrammetry too?
Yes. The techniques are format-agnostic. Drone, terrestrial, or handheld scans all work. Photogrammetry output has more noise so thresholds change slightly, which I cover.
Can I upgrade to the Segmentor OS later?
Yes. Your purchase applies as credit toward the Segmentor OS. Email me when you are ready.
How long do I have access?
Lifetime. One payment, permanent access. Every future update included.
What’s the refund policy?
90 days. Apply the material. If you are not satisfied, email me for a full refund.
Not sure if this course fits?
If you have specific questions about how the curriculum applies to your role, your team’s needs, or your technical background, I’m happy to help you figure it out before you commit.
Book a 15-min call