point clouds Archive - Pointcab

New Release: Nebula 2.1 & Nebula Creator

Nicole — Thu, 05 Feb 2026 18:45:54 +0000

New Release: Nebula 2.1 & Nebula Creator

Contents

1.Nebula Creator
2. Nebula 2.1 – Most important new Features
AWS (Amazon Web Services) Compatibility
New Download Manager
Height and Cluster Navigation
“Display Range” Option in Bubble Views
Measurements & POIs in Bubble Views
3. Nebula 2.1 – More New Features
4. Nebula 2.1 – Refinements and Fixes

1. Nebula Creator

What it’s for

With the Nebula Creator, everyone can finally use Nebula for free – regardless of whether you’re already an Origins user or not.
The Creator is a free desktop software that prepares point cloud projects for online visualization in Nebula.

How it works

Download the Creator. Convert your point cloud data and add panos if you wish. Then simply follow the usual Nebula workflow. Done!

2. Nebula 2.1 – Most important new Features

AWS (Amazon Web Services) Compatibility

What it’s for

As promised, we are continuously expanding the number of cloud services that can be connected to Nebula. Due to strong demand, this update introduces support for AWS.

How it works

In the video, we show step by step how to connect your AWS account to Nebula – even without extensive IT knowledge.
The short version? Just follow the instructions laid out in Nebula.

New Download Manager

What it’s for

Our new Download Manager allows you to download orthophotos and 3D points directly in the browser – a long-awaited feature. This allows you not only to visualize results, but also to easily share them.

How it works

Click on the Download Manager icon in the menu at the bottom left. Select the desired orthophotos or 3D points in the new window. Click on “ALL” to select all available files at once. Simply click on Download – done.

Height and Cluster Navigation

What it’s for

To make navigation in Nebula even more intuitive, scan positions can now be filtered and displayed by height or cluster.

How it works

The video includes a detailed explanation.
The short version? Simply filter by height or cluster and show or hide scan positions as needed.

"Display Range" Option in Bubble Views

What it’s for

The perfect complement to the new height and cluster navigation! The “Display Range” function allows scan positions to be shown or hidden based on their distance from your current viewpoint in the Bubble View.

How it works

Simply select the distance from which scan positions should be displayed via the menu in the top right corner.

Measurements & POIs in Bubble Views

What it’s for

Another great enhancement for the Bubble View: measurements and POIs can now also be created directly within the Bubble View.

How it works

Download the coordinates, then use Ctrl + mouse click to measure distances and 3D points.
Of course, POIs can also be enriched with additional links and documentation.

3. Nebula 2.1 – More New Features

4. Nebula 2.1 – Refinements and Fixes

Improved clipping box handling
Improved Settings behaviour & appearance
Improved workflow for purchasing additional slots
Improved 3D Visualization
Improved Mini Map for easier navigation
Extended measurements units (feet)
Dynamic point-display adjustment for improved performance
Optimized point cloud loading for faster performance
Fix: Updates are synchronized in real time across all views
Fix: Unified sharing links for all users
Fix: Automatically update public links
Fix: Microsoft SharePoint Public Links
Fix: Sidebar issues in Firefox

Book your demo today!

Want to see those shiny new features first-hand?

Simply book a free, no-obligation demo with one of our support engineers below.

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Der Beitrag New Release: Nebula 2.1 & Nebula Creator erschien zuerst auf Pointcab.

Nebula 2.0 R2

Freddie — Mon, 11 Aug 2025 07:00:02 +0000

Nebula 2.0 r2

NEW REVISION

Our cloud solution Nebula for point clouds is getting some new features and updates with the new revision. The most important new features and fixes are summarized here in this article. Let’s get started!

NEW FUNCTIONS:

Dynamic LOD for Orthophotos and Panos

New option in Nebula to „Download High Resolution Tiles“.
Orthophotos and panoramas are normally created in LOD 6 (level of detail) in order to load faster.

Higher resolution data can now be loaded on demand.

Handles to adjust Clipping Boxes

The Clipping Box in 3D view can now be rotated, moved, and scaled in all directions using handles.

GENERAL IMPROVEMENTS:

Share options added in 3D

Projects can now also be shared directly from the 3D view via “Share Project”.

Improved UX in Planar/Bubble View

Improved user experience:
Switching between Planar and Bubble View is now smoother and reliably leads to the same position.

IMPROVEMENTS & FIXES

Save georeferencing added
Multiple Settings improvements
Fix measurements visualisation in panoramas
Fix loading for bubble views
Fix Project Integrity Check display
Fix user roles editing
Fix load available sheets
Fix app freeze when creating clipping box

Haven't tried Nebula yet?

Learn more about our Nebula cloud solution for point clouds and register for free today:

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Der Beitrag Nebula 2.0 R2 erschien zuerst auf Pointcab.

Laser scanning technology helps preserve and repurpose a historic masonry building in Crete

Nicole — Fri, 01 Oct 2021 10:33:04 +0000

Laser scanning technology helps preserve and repurpose a historic masonry building in Crete

Postgraduate students at the Technical University of Crete used a combination of a Trimble Laser Scanner, PointCab Origins Pro, and Autocad to obtain and document the exact geometry of a historic masonry structure with the purpose of its structural rehabilitation.

The island of Crete, Greece is known for its beautiful landscape and rich history. It’s the birthplace of the first European advanced civilization, the Minoans, and was shaped by the Mycenaeans, Romans, Osmans, and many more. The traces of these cultures can still be found all across the island in different archeological remains.

One of them is a two-century-old residential masonry, built during the Osman rule. It has been abandoned for the last 70 years and is the former residence of the wealthy Seimeni family. As one of the few remaining buildings of that type of local architecture in the region, it bears great historic value. In order to preserve and repurpose the building, exact documentation of its geometry was required, among other factors, in order to assess its structural integrity and the degree of necessary strengthening interventions. The building is planned to be restored in the next years and to be used as a local folk art museum.

Postgraduate student Eirini Chorianopoulou, supervised by Professors Maria Stavroulaki and Nikos Skoutelis decided to exploit the benefits of the latest laser scanning technology available. Since there were parts of the building that could not be approached and a distant measurement technique was needed, using simpler tools and techniques would not suffice. Therefore, an accurate digital representation of the building in its condition before the restoration could be captured.

This will give future visitors the chance to understand and compare the prior and current state and appreciate the work that will be done in order to preserve the authenticity of the structure after its restoration. With the purpose to obtain the geometric properties of the structure, the Trimble X7 3D laser scanner was employed. A number of 25 scans were used to generate the point cloud. All the data was imported as e57 format files and edited in PointCab Origins Pro. Accurate plans, sections, and elevations of the structure were created at all necessary levels and were exported as .dwg files for further editing in Autocad. Postgraduate researcher Evangelos Nitadorakis, responsible for handling the point cloud evaluation, found himself satisfied with the results that the use of PointCab’s Origins software provided:

“The accuracy of the generated sections allowed the identification and quantification of pathology indicators such as wall inclinations not visible with the human eye and remote measurements in parts of the structure that are not easily accessible. In addition, the delta analysis tool helped to distinguish even the slightest deviations in vertical levels. Furthermore, with a proper combination of all the data from Origins, an exact 3D model of the structure was created in a FEM analysis software and structural and dynamic analysis were conducted in order to assess the fragility of the structure under various loading cases. Employing PointCab Origins, we appreciated the easy handling, the speed of data processing, and the quality of the outcomes.”

Der Beitrag Laser scanning technology helps preserve and repurpose a historic masonry building in Crete erschien zuerst auf Pointcab.

What are point clouds?

Nicole — Wed, 01 Sep 2021 08:14:33 +0000

WHAT ARE POINT CLOUDS?

Here’s an easy-to-understand introduction to the topic of point clouds. We answer the following questions:
Basics: What is a point cloud and how is it created?
What are point clouds used for?
How to work with point clouds?
Point cloud registration
Importing, processing, and passing on point cloud data

Basics: What is a point cloud and how is it created?

A point cloud can best be explained with the help of a gadget that reached the peak of its popularity in the 00s and is now primarily used for presentations: the laser pointer. The laser pointer can be used to illuminate a precise point in a straight line. If you know exactly where the laser pointer is located in the room, you can also exactly locate the point that is being illuminated. After all, the laser beam is straight as a die and thus makes it possible to calculate the exact position of the point in space in relation to the origin (the laser pointer). Geodetic points in surveying are also measured according to this basic principle, only it’s a little more complex. Instead of a laser pointer, special tachymeters are used for this purpose.

And what does this have to do with point clouds? Quite simple. In addition to total stations, laser scanners have been used more and more frequently for surveying in recent years. These also work in the same way as our laser pointer, except that they can measure thousands or even millions of points simultaneously.

Taken together, all the measured points constitue the point cloud. They contain an incredible amount of information because every single point in the point cloud has its own X, Y, and Z coordinates. If we scan a staircase with a laser scanner, for example, we can use the resulting point cloud to determine exactly how straight the individual steps are, where the steps are worn and how high the deviation from the construction standard is. Accordingly, laser scanners and the point clouds they produce are always used when you want to accurately document existing structures, for example to digitize, measure or modify them.

What are point clouds used for?

For the design and optimization of production parts, for example in the automotive industry, very high-resolution hand-held scanners are usually used. They can capture even the smallest details and deviations. This allows a digital twin to be created on the PC. With the help of the twin, new prototypes can then be created and improvements digitally simulated and tested.

In the construction industry and as-built documentation of buildings, various scanners are used. Depending on the object, mostly terrestrial or mobile laser scanners, sometimes even drones. They are used to scan buildings for a variety of reasons, e.g. to plan an extension or renovation, to optimally position new equipment in production buildings, or to document the construction progress of various building projects.

These are just a few examples of applications. Point clouds are used wherever objects need to be precisely captured and digitized. Depending on the area of application, different laser scanners are used. They can produce different accuracies and point cloud sizes.

How to work with point clouds?

How to work with point clouds depends above all on what goal you are pursuing. As already mentioned, different laser scanners are used for different areas of application. The same applies to the software used to evaluate the point clouds. Our software solution, Origins, for example, is mainly used when existing buildings or landscape structures are to be digitally captured.

Regardless of which hardware and software solutions are used, there is an important step between the acquisition and the evaluation of the point cloud data: the registration.

Point Cloud Registration

During registration, individual scans or individual “sections” that were captured with the laser scanner are merged into a point cloud. If you want to register a complete building, for example, you often set up the laser scanner in the different rooms and scan them. Of course, in the end, you don’t only want to have individual scans of the different rooms. You prefer simply one large point cloud in which all the scans are available and linked together. To achieve this, you have to register the scans.

Behind the registration usually stands a rather complicated mathematical process. The accuracy of the data produced by the registration depends on how well the laser scanner captured the environment on site and how reliable the registration software used is.

Fortunately, this process has become easier and easier in recent years. If you use a mobile laser scanner, for example, you often no longer have to make individual scans. You can simply walk through or around the object with the scanner. With this type of scanner, registration is also usually fully automatic and provided together with the hardware. The user does not need much know-how. The disadvantage here, however, is that mobile laser scanners are currently often not able to deliver as precise results as terrestrial laser scanners, i.e. scanners that are set up stationary and take individual scans one after the other.

There are different methods to register a point cloud. The best known are cloud-to-cloud registration, target-based registration, or plane-to-plane registration. Which method to use depends on many different factors, e.g. the laser scanner used, the desired accuracy, or your own preferences. Especially for newcomers, it is, therefore, advisable to have the scanning and registration carried out by experts. They not only register the point cloud but also “clean” it in most cases during the registration process. This means, for example, that duplicate scans or “noisy” areas of the point cloud are removed or the point cloud is professionally “thinned out” to reduce the file size.

Importing, processing, and passing on point cloud data

If you receive registered point cloud data, there is usually one more stumbling block to overcome before you can take measurements and create digital 3D models from the data – importing the data.

There is not just one file format for point clouds. In general, each laser scanner works with its own file format. Different software for processing are often using their own formats as well. As a result, there is hardly any software that can import all native file formats from the different laser scanners and processing software. We are very proud that our Origins (Pro) software can read and import over 25 different point cloud formats and export over 20 different formats (point cloud formats and others). However, even though we provide one of the greatest diversities on the market, it still doesn’t represent all native data formats. So what is the best way to deal with the different file formats?

Open exchange formats such as .las, .laz, .e57 or .xyz offer a solution to this problem. These file formats were developed by independent parties to solve the problem of data transfers. The .e57 format in particular has virtually become the industry standard. Almost all registration software of the laser scanner manufacturers can output the format and processing software for point clouds can also read the format. Therefore, in most cases, the surveyor will hand over the point cloud in .e57 format.

The disadvantage here is that the .e57 format, in contrast to the native formats, is less well compressed. Therefore it requires more storage capacity in comparison. However, the large amounts of data are normally no problem for point cloud software. After all, they were developed specifically for the processing and evaluation of point clouds. They can be used to carry out measurements and other evaluations. With Origins for example, you can also create automatic floor plans that can be vectorized and much more.

However, if you want to create a 3D model from the point cloud, you need to employ a BIM or CAD software. These were not originally developed to handle point cloud data. Accordingly, many of these software still have major problems processing the data. Some CAD software, such as Autodesk Revit or AutoCAD, cannot read .e57 or other common point cloud formats. In order to use these software, the data must be converted again into the Autodesk formats .rcp or .rcs. Other CAD software cannot read point cloud data at all or can only import small amounts of data at once, which means that the point cloud has to be “split” again and imported in parts. These are all very tedious and time-consuming tasks.

To avoid this effort, the data is often first pre-processed in a point cloud software and then further processed in the CAD software. For example, Origins (Pro) can be used to create floor plans and vector lines, which can then be transferred to the CAD software in the correct position and with all the important 3D information in .dfx or .dwg format. These formats can be processed by almost any CAD software and require much less storage capacity than the entire point cloud. Of course, there are now also plugins for the most common CAD software that can transfer the 3D information from the point cloud software directly to the CAD software.

In conclusion, it can be seen that the acquisition and processing of point clouds, right up to the creation of a 3D model, still requires a great deal of expertise and know-how. Especially the amount of data and the data exchange between the different systems is still a challenge. Fortunately, a lot has already been done in recent years to simplify this process, also known as scan-to-BIM. We are also working every day to be able to import more data formats into our software and to simplify the handling so that even beginners can work with point clouds.

Questions?

Would you like to find out more about point clouds or our Software in a personal meeting or do you have another request?
Here you can find the right contact person directly.

TALK TO AN EXPERT

Just fill out the form below and our team will get back to you as soon as possible.

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Der Beitrag What are point clouds? erschien zuerst auf Pointcab.

Conversion of a former mustard factory

Freddie — Mon, 12 Apr 2021 12:06:35 +0000

USER STORY

As-Built Documentation for Conversion of Existing Buildings: Former Mustard Factory

Contents

The Challenge: No Existing Floor Plans and Time-Sensitive Planning
Capturing the Existing Building: Fast and Complete 3D Laser Scanning
From Point Cloud to CAD Plans: Efficient Evaluation with PointCab Origins
Planning Benefits and Project Outcomes

The Challenge: No Existing Floor Plans and Time-Sensitive Planning

In this project, an old mustard factory was being converted into a residential building. The two-story, U-shaped structure contained former production rooms, storage areas and garages – but no current, reliable as-built plans were available for this complex task. 3D laser scanning provided the precise documentation needed for planning and design.

Converting an industrial building into residential space requires accurate knowledge of existing conditions. Without updated plans, planners and engineers risk costly errors during design and construction. In this case, the goal was to produce detailed floor plans and sections as CAD deliverables for the planning office – efficiently and within a short timeframe.

Capturing the Existing Building: Fast and Complete 3D Laser Scanning

The entire building was documented using 3D laser scanning within half a day. A total of 30 individual scans were carried out, capturing all relevant rooms, walls, openings and structural elements.
This approach delivered a complete and detailed point cloud representing the actual condition of the building – an essential foundation when converting industrial structures into residential use.

Die Datenauswertung hat nur 2 Stunden geadauert, was mich wirklich überrascht hat!

Mitarbeiter Bouwsupport

Jun. 2013

From Point Cloud to CAD Plans: Efficient Evaluation with PointCab Origins

After data acquisition, the point cloud was evaluated using PointCab Origins. From the scan data, the required deliverables were derived efficiently:

floor plans,
cross sections,
and scaled, CAD-ready drawings.

The generated data could be imported directly into the customer’s CAD system and used for further planning steps without additional re-measurement or manual reconstruction.

Planning Benefits and Project Outcomes

The complete evaluation process – from raw scan data to exportable plans took approximately two hours.
Based on the generated plans, the investment volume for the conversion could be assessed quickly and reliably. The resulting CAD data supported:

preliminary and design planning,
detailed execution planning,
and visualizations for residential marketing and exposés.

This workflow provided a solid digital foundation for all subsequent project phases.

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Der Beitrag Conversion of a former mustard factory erschien zuerst auf Pointcab.

Acquisition of a limestone crushing plant

Freddie — Sun, 16 Dec 2018 15:16:25 +0000

USER STORY

As-Built Documentation of a Limestone Crushing Plant Using 3D Laser Scanning

Contents

Project Overview: Accurate Data for Industrial Plant Expansion
3D Laser Scanning for Efficient and Non-Disruptive Data Capture
Processing the Point Cloud and CAD Integration
Benefits of the Workflow for Industrial Facilities

Project Overview: Accurate Data for Industrial Plant Expansion

The As-Built Documentation of Industrial Facilities is an increasingly important application in surveying. In this project, the planning of a plant expansion was commissioned. Specifically, it involved a limestone crushing plant at a cement factory in the Middle East. ThyssenKrupp Fördertechnik GmbH used 3D laser scanning with PointCab Origins to capture the existing facility in detail. The goal was to compare the laser scan data with an existing 3D CAD model and create a reliable basis for planning the upcoming plant extension—something that would not have been feasible without precise as-built documentation.

3D Laser Scanning for Efficient and Non-Disruptive Data Capture

A FARO laser scanner was used to capture a conveyor belt system approximately 160 m in length, starting underground and ending at a discharge point about six metres above ground level. The conveyor passes through several silos and multiple height levels, making conventional measurement methods inefficient and time-consuming.

Using 3D laser scanning allowed the system to be documented with minimal disruption to ongoing operations:

Data acquisition was carried out over three days.
The conveyor belt needed to be stopped for only two hours in total.
40 individual scans were captured and registered and evaluated directly on site using PointCab Origins.

This ensured complete coverage of the facility and eliminated the need for repeat site visits or additional shutdowns.

Evaluate laser scanner results quickly and easily directly on site. Awesome!

ThyssenKrupp

Dez. 2018

Processing the Point Cloud and AutoCAD

The sections and evaluations generated in PointCab Origins formed the basis for further planning and design.
After on-site registration, the processed point cloud data was transferred into AutoCAD for continued CAD work. This enabled planners and engineers to work directly with accurate, real-world geometry and align the planned plant expansion with the existing structure.

Benefits of the Workflow As-Built Documentation of Industrial Facilities

This project highlights the advantages of combining 3D laser scanning with point cloud processing for industrial plants:

Efficiency: Large and complex plant components can be captured quickly with minimal downtime.
Data accuracy: The point cloud reflects the actual condition of the facility with high precision.
Planning reliability: Accurate measurements help prevent clashes and design errors during plant expansion.
Seamless CAD workflow: Results integrate smoothly into standard CAD environments such as AutoCAD.

For industrial facilities operating under tight production schedules, this approach provides a reliable and practical foundation for modification and expansion projects.

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Der Beitrag Acquisition of a limestone crushing plant erschien zuerst auf Pointcab.

Facade elevation of a listed industrial building

Freddie — Sun, 02 Dec 2018 14:54:57 +0000

USER STORY

Facade Elevation of a Listed Industrial Building: Precise 3D Survey for Renovation Planning

Contents

Requirements: Documentation of facade
Challenges of Capturing a Listed Facade
Survey Execution: 25 Scan Positions and Efficient Data Capture
From Point Cloud to Digital Plans Using PointCab Origins and Geograf
Why Detailed Facade Documentation Matters for Preservation Projects

Requirements: Facade Documentation of Listed Building

In Magdeburg, a historic industrial building subject to preservation orders was undergoing conversion into residential loft apartments. To comply with heritage requirements and support renovation planning, highly accurate, true-to-scale documentation of the building’s facades was essential. Traditional measurement approaches were not feasible due to the narrow working space and the structure’s height, so a 3D laser scanning survey was commissioned. The 3D laser scanning survey, as well as the processing and modeling of the point cloud data was carried out by Laserscanning Europe.

Challenges of Capturing a Listed Facade

The building’s complex geometry presented multiple challenges:

The facades reach up to 17 m in height, making direct manual measurement risky and limited by space.
The east facade features multiple offsets and sloping sections, requiring detailed mapping to capture elements such as window surrounds and wall protrusions.
As a listed structure, all renovations must align with heritage preservation requirements, which demand accurate documentation of existing conditions before design can proceed.

These conditions made non-contact 3D laser scanning the only practical method to achieve comprehensive and precise data.

Survey Execution: 25 Scan Positions and Efficient Data Capture

The team performed a total of 25 laser scanner setups across the three principal facades, covering a facade area of 1,720 m². Only one surveyor was needed on site, and the total scanning time was approximately 5 hours.

The result was a dense and complete point cloud representing all facade details – including irregularities and features that are critical for both preservation and renovation planning.

The rapid creation of scaled orthophotos allowed for quick analysis in Geograf.

Eric Bergholz

CEO, Laserscanning Europe GmbH

Dez. 2018

From Point Cloud to Digital Plans Using PointCab Origins and Geograf

Once the laser scanning was completed, the raw point cloud data was processed with PointCab Origins:

True-to-scale orthophotos were generated automatically.
The orthophotos and extracted measurements were imported into the CAD system Geograf within one hour.
Detailed 2D plans, including facade drawings and crack documentation, were created at a 1:50 scale.

This workflow enabled architects and engineers to immediately begin modeling and detailed planning for renovation and conversion. The CAD deliverables supported both the artistic design and the technical compliance needed for a listed building.

Why Detailed Facade Documentation Matters for Preservation Projects

For any structure under heritage protection, understanding the existing condition – especially at high resolution – is vital:

Preservation orders require that original characteristics be respected in renovation.
Irregularities (cracks, offsets, sloping segments) must be precisely recorded before any intervention.
A digital record supports historical documentation and prevents speculative or inaccurate reconstruction.

By using 3D laser scanning and rapid orthophoto generation, the project team not only met the strict accuracy requirements but also sped up the planning process, saving time and reducing risk during subsequent project phases.

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Der Beitrag Facade elevation of a listed industrial building erschien zuerst auf Pointcab.

Surveying Dunelm House

Freddie — Sat, 01 Dec 2018 13:43:31 +0000

USER STORY

Surveying Dunelm House – home of the Durham Univerity Students' Union (DSU)

Contents

Dunelm House: Why a Precise 3D Survey Was Needed
The Challenge: Complex Roof and Difficult Site Conditions
How the Survey Was Completed: Laser Scanning + GPS
From Point Cloud to Plans: Deliverables in Four Days
How the Digital Survey Supports the Renovation Process

Dunelm House: Why a Precise 3D Survey Was Needed

Dunelm House (1966) is Durham University’s well-known students’ union building. Designed in the post-war modernist style, it sits directly on the steep banks of the River Wear. Furthermore, it is connected to the equally iconic Kingsgate Bridge.

The structure is characterized by exposed concrete and terraced floor levels. A multi-angled, irregular roofscape follows the natural slope of the riverbank. This bold design makes Dunelm House architecturally significant – and challenging to measure.
When leaks appeared across several roof areas, a detailed digital survey was needed. The aim was to document the current condition and guide the renovation.

The Challenge: Complex Roof and Difficult Site Conditions

The student building’s roof consists of intersecting levels, changing slopes, and unconventional angles. Combined with its sloping riverside location, this makes traditional measurement methods unreliable and slow.

To capture the structure accurately and efficiently, the project required a modern surveying approach capable of documenting every plane and surface with precision.

How the Survey Was Completed: Laser Scanning + GPS

The survey was carried out by Bury Associates Ltd using two FARO Focus3D laser scanners. To record the terrain and ensure accurate referencing across the entire site, the team also used total stations and GPS equipment.

This hybrid surveying method made it possible to capture:

the full exterior geometry of Dunelm House,
its complex multi-level roof structures,
and high-precision topographic context along the River Wear.

The result was a detailed point cloud covering the entire building and its surroundings.

We think PointCab Origins is the fastest way to extract plans and sections from point clouds.

Bury Associates Limited

Dez. 2018

From Point Cloud to 3D Model: Deliverables in Four Days

After the scanning process, the data was processed using PointCab Origins, which enabled the team to deliver complete documentation in just four days.
The deliverables included:

orthophotos,
2D floor plans,
sections and elevations,
and a full 3D Revit model created from the processed Origins data.

By exporting PointCab’s results into Autodesk Revit, the project team gained a BIM-ready model with the accuracy needed to analyse the leaking roof and plan the renovation.

How the Digital Survey Supports the Renovation Process

The Dunelm House project shows how 3D laser scanning, precise site measurement, and point cloud processing can deliver fast, reliable results — even for buildings with complex shapes and challenging site conditions.

With the combination of FARO scanners, survey instruments, and PointCab Origins for evaluation, Bury Associates delivered a complete set of renovation-ready outputs, including a detailed Revit model.
This provided architects and engineers with a solid digital foundation for repairing and preserving one of Durham’s most distinctive architectural landmarks.

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Der Beitrag Surveying Dunelm House erschien zuerst auf Pointcab.

As-built documentation of an old house

Freddie — Sat, 01 Dec 2018 13:36:25 +0000

USER STORY

As-built documentation of an old house in Switzerland

Contents

As-Built Documentation of an Old House: Why a Complete 3D Laser Scan Was Essential
Missing Plans, Irregular Geometry, and the Need for Precision
Survey: Faro Photon 120, Faro Scene, and Efficient On-Site Work
Processing the Point Cloud: Fast Extraction of Plans and Sections
What This Case Study Demonstrates

As-Built Documentation of an Old House: Why a Complete 3D Laser Scan Was Essential

An old residential building in a village in the Swiss canton of Ticino lacked reliable, up-to-date building plans. To prepare renovation and restoration work, the engineering firm Geomatica Righitto (Lugano, Switzerland) was commissioned to do a full 3D as-built documentation.

Traditional plans were missing or outdated, and the building required precise measurements to support planning in CAD and BIM software.

Missing Plans, Irregular Geometry, and the Need for Precision

Older buildings rarely follow perfectly straight lines or standardized geometries. Over decades – or even centuries – walls may shift, floors may sag, and angles deviate from 90 degrees.

This means: assumptions based on symmetry or “standard” geometry can be highly misleading.

For renovation work, especially structural or restorative interventions, accurate data is crucial. Because no reliable plans existed for this house and its geometry was visibly irregular, a precise and complete measurement was essential, making 3D laser scanning the ideal method.

Survey: Faro Photon 120, Faro Scene, and Efficient On-Site Work

Geomatica Righitto used a FARO Photon 120 laser scanner to capture the entire building, including:

three façades,
the basement,
the roof,
and all four floors.

In total:

29 scans,
6 hours on site,
3 survey specialists.

All scans were registered and merged in FARO Scene, ensuring correct alignment and a unified, consistent point cloud.

This point cloud became the complete digital representation of the building, including all the irregularities typical of older structures.

Point clouds are for engineers, plans for architects. PointCab Origins is the fastest connection between them.

Marzio Righitto

Engineer - Pastorelli SA

Dez. 2018

Processing the Point Cloud: Fast Extraction of Plans and Sections

Once the unified point cloud was ready, Geomatica Righitto used PointCab Origins to extract essential architectural outputs:

4 floor plans
3 façade plans
20 building sections
Orthophotos for façades and interior walls

These automated extractions significantly reduced manual drafting work.
The final drawings — both as-built documentation and renovation plans — were delivered in a CAD/BIM-ready format for use in Archicad.

The entire processing workflow, including preparation for delivery, took about 8 hours.

What This Case Study Demonstrates

This project shows how even older buildings with irregular geometry and missing documentation can be comprehensively captured. Old buildings are rarely dimensionally perfect, but laser scanning captures reality exactly as it is, and the resulting point cloud becomes a trusted digital baseline.

The combination of FARO Photon 120, FARO Scene, and PointCab Origins enabled Geomatica Righitto to create reliable plans quickly – giving architects and engineers the confidence they need to design renovations and restoration work effectively.

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Der Beitrag As-built documentation of an old house erschien zuerst auf Pointcab.

Renovation of an old farmhouse

Freddie — Thu, 16 Jan 2014 15:02:34 +0000

USER STORY

As-Built Documentation for Renovation Projects – 3D Laser Scanning of an Old Farmhouse

Contents

Project Overview: Precise Survey for Full Renovation Planning
Why 3D Laser Scanning Was the Optimal Survey Method
From Point Cloud to Planning Deliverables Using PointCab Origins and ArchiCAD
Why As-Built Documentation Is Essential for Renovation Projects

Project Overview: Precise Survey for Full Renovation Planning

In Wattenwil near Bern (Switzerland), a historic farmhouse that had fallen out of regular use due to high maintenance costs was scheduled for full renovation and reuse as a residential building. For this project, precise as-built documentation for renovation projects was required to support planning, design decisions and cost estimation.

Since no reliable plans existed, the architectural office AAP Atelier für Architektur und Planung AG was commissioned to carry out the 3D laser scanning survey and evaluation.

Why 3D Laser Scanning Was the Optimal Survey Method

Old farmhouses often have irregular geometry owing to historical construction techniques and settling over time. Traditional measurement methods can struggle to capture such complexity efficiently, and missing or inconsistent documentation increases planning risk. In this project, 3D laser scanning provided a precise and complete dataset suitable for detailed planning in CAD.

For this reason, a FARO Photon 120/20 laser scanner was used. Over two full days of on-site work, the team captured around 30 individual scans covering all important surfaces, including:

facades,
internal floor plans,
load-bearing structure,
and architectural details necessary for renovation planning.

The point cloud data was registered using reference targets to ensure spatial accuracy and full coverage of the building geometry.

We were able to easily use our FARO laser scanner data in ArchiCAD thanks to PointCab Origins.

AAP Atelier für Architektur und Planung AG

Dez. 2013

From Point Cloud to Planning Deliverables Using PointCab Origins and ArchiCAD

Once the raw scan data was collected, the exported point cloud was processed with PointCab Origins, enabling fast extraction of key deliverables:

accurate floor plans,
sections, and
facade drawings.

Thanks to PointCab Origins’ workflow, these outputs were quickly read into the customer’s CAD system, Graphisoft ArchiCAD, where they served as the basis for further planning and material estimation. The clarity and accuracy of the extracted plans helped determine rehabilitation needs, material quantities, and cost implications early in the project.

The combination of scan capture and software evaluation significantly reduced manual drawing work and enabled planners to focus on design and implementation rather than re-measurements.

Why As-Built Documentation Is Essential for Renovation Projects

This farmhouse case demonstrates several clear advantages of using 3D laser scanning and point cloud processing for renovation:

Precise real-world geometry: captures every irregularity and construction detail that would otherwise be missed on paper plans.
Efficient workflow: rapid on-site scanning and fast post-processing deliver usable CAD data in a short timeframe.
Planning confidence: reliable digital data reduces risk when estimating effort and materials for big renovation decisions.
Seamless integration: outputs easily transfer to common CAD systems for further design and documentation.

For renovation projects of older buildings, especially those without current documentation, this approach is a strong foundation for both the design process and accurate cost planning.

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Der Beitrag Renovation of an old farmhouse erschien zuerst auf Pointcab.

point clouds Archive - Pointcab

New Release: Nebula 2.1 & Nebula Creator

New Release: Nebula 2.1 & Nebula Creator

1. Nebula Creator

2. Nebula 2.1 – Most important new Features

AWS (Amazon Web Services) Compatibility

New Download Manager

Height and Cluster Navigation

"Display Range" Option in Bubble Views

Measurements & POIs in Bubble Views

3. Nebula 2.1 – More New Features

4. Nebula 2.1 – Refinements and Fixes

Book your demo today!

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Nebula 2.0 R2

Nebula 2.0 r2

NEW REVISION

NEW FUNCTIONS:

Dynamic LOD for Orthophotos and Panos

Handles to adjust Clipping Boxes

GENERAL IMPROVEMENTS:

Share options added in 3D

Improved UX in Planar/Bubble View

IMPROVEMENTS & FIXES

Haven't tried Nebula yet?

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Laser scanning technology helps preserve and repurpose a historic masonry building in Crete

Laser scanning technology helps preserve and repurpose a historic masonry building in Crete

What are point clouds?

WHAT ARE POINT CLOUDS?

Basics: What is a point cloud and how is it created?

What are point clouds used for?

How to work with point clouds?

Point Cloud Registration

Importing, processing, and passing on point cloud data

Questions?

TALK TO AN EXPERT

Conversion of a former mustard factory

USER STORY

As-Built Documentation for Conversion of Existing Buildings: Former Mustard Factory

The Challenge: No Existing Floor Plans and Time-Sensitive Planning

Capturing the Existing Building: Fast and Complete 3D Laser Scanning

From Point Cloud to CAD Plans: Efficient Evaluation with PointCab Origins

Planning Benefits and Project Outcomes

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Acquisition of a limestone crushing plant

USER STORY

As-Built Documentation of a Limestone Crushing Plant Using 3D Laser Scanning

Project Overview: Accurate Data for Industrial Plant Expansion

3D Laser Scanning for Efficient and Non-Disruptive Data Capture

Processing the Point Cloud and AutoCAD

Benefits of the Workflow As-Built Documentation of Industrial Facilities

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Facade elevation of a listed industrial building

USER STORY

Facade Elevation of a Listed Industrial Building: Precise 3D Survey for Renovation Planning

Requirements: Facade Documentation of Listed Building

Challenges of Capturing a Listed Facade

Survey Execution: 25 Scan Positions and Efficient Data Capture

From Point Cloud to Digital Plans Using PointCab Origins and Geograf

Why Detailed Facade Documentation Matters for Preservation Projects

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Surveying Dunelm House

USER STORY

Surveying Dunelm House – home of the Durham Univerity Students' Union (DSU)​

Dunelm House: Why a Precise 3D Survey Was Needed

The Challenge: Complex Roof and Difficult Site Conditions

How the Survey Was Completed: Laser Scanning + GPS

From Point Cloud to 3D Model: Deliverables in Four Days

How the Digital Survey Supports the Renovation Process

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As-built documentation of an old house

USER STORY

As-built documentation of an old house in Switzerland

As-Built Documentation of an Old House: Why a Complete 3D Laser Scan Was Essential

Missing Plans, Irregular Geometry, and the Need for Precision

Survey: Faro Photon 120, Faro Scene, and Efficient On-Site Work

Processing the Point Cloud: Fast Extraction of Plans and Sections

What This Case Study Demonstrates

Want to keep up with the latest pointCab news?

Surveying Dunelm House – home of the Durham Univerity Students' Union (DSU)