Increasing Productivity in Architecture with Mobile Mapping
In this webinar we are joined by GeoSLAM customer SLA Architects. Jordan JD Dixon is an Architect who specialises in renovation work. SLA wants to stay on the cutting edge of technology, and were using some of the traditional tools like laser distance measures and phone photography, their goal was to improve on accuracy.
Key takeaways:
Learn about the GeoSLAM ZEB Family of laser scanning solutions
How GeoSLAM technology fits into BIM-LOD
Learn about SLA architects, the type of work they do and the role of GeoSLAM technology in their workflow
View and download data in our free point cloud viewer
Here’s some helpful tips for the best viewing experience
If your internet connection allows, move the Point Budget slider to the maximum amount available to view all the points in the cloud.
Making the point size smaller using the Point Size slider makes the data easier to view and interpret.
In the tools section of the viewer, you can measure the distance and angles of features within the pointcloud.
Using the materials section of the viewer, you can use the Select Attributes dropdown to view by intensity, elevation and RGB (if point cloud is coloured).
Olympic Rings
Location:London, United Kingdom ZEB Scanner: ZEB Horizon Scan time:5 Minutes
This data was captured as part of the Big SLAM Tour of the UK, read about it here.
Would you like to see a specific dataset that’s not on this page? Contact [email protected]
GeoSLAM Sample Data
View and download data in our free point cloud viewer
Here’s some helpful tips for the best viewing experience
If your internet connection allows, move the Point Budget slider to the maximum amount available to view all the points in the cloud.
Making the point size smaller using the Point Size slider makes the data easier to view and interpret.
In the tools section of the viewer, you can measure the distance and angles of features within the pointcloud.
Using the materials section of the viewer, you can use the Select Attributes dropdown to view by intensity, elevation and RGB (if point cloud is coloured).
ArcelorMittalOrbit
Location:London, United Kingdom ZEB Scanner: ZEB Horizon Scan time:5 Minutes
This data was georeferenced with the ZEB Locate accessory and captured as part of the Big SLAM Tour of the UK, read about it here.
Would you like to see a specific dataset that’s not on this page? Contact [email protected]
GeoSLAM Sample Data
View and download data in our free point cloud viewer
Here’s some helpful tips for the best viewing experience
If your internet connection allows, move the Point Budget slider to the maximum amount available to view all the points in the cloud.
Making the point size smaller using the Point Size slider makes the data easier to view and interpret.
In the tools section of the viewer, you can measure the distance and angles of features within the pointcloud.
Using the materials section of the viewer, you can use the Select Attributes dropdown to view by intensity, elevation and RGB (if point cloud is coloured).
Would you like to see a specific dataset that’s not on this page? Contact [email protected]
GeoSLAM Sample Data
View and download data in our free point cloud viewer
Here’s some helpful tips for the best viewing experience
If your internet connection allows, move the Point Budget slider to the maximum amount available to view all the points in the cloud.
Making the point size smaller using the Point Size slider makes the data easier to view and interpret.
In the tools section of the viewer, you can measure the distance and angles of features within the pointcloud.
Using the materials section of the viewer, you can use the Select Attributes dropdown to view by intensity, elevation and RGB (if point cloud is coloured).
Angel of the North
Location:Newcastle, United Kingdom ZEB Scanner: ZEB Horizon Scan time:6 Minutes
Would you like to see a specific dataset that’s not on this page? Contact [email protected]
GeoSLAM Sample Data
View and download data in our free point cloud viewer
Here’s some helpful tips for the best viewing experience
If your internet connection allows, move the Point Budget slider to the maximum amount available to view all the points in the cloud.
Making the point size smaller using the Point Size slider makes the data easier to view and interpret.
In the tools section of the viewer, you can measure the distance and angles of features within the pointcloud.
Using the materials section of the viewer, you can use the Select Attributes dropdown to view by intensity, elevation and RGB (if point cloud is coloured).
Colourised data was captured using the ZEB Discovery backpack solution. This data was captured as part of the Big SLAM Tour of the UK, learn more about it here.
Jim Foster has worked in the surveying industry for over 18 years, building a well-respected company with high profile clients from all over the United States. Originally the owner of a product design company, Jim saw the opportunity to begin a new adventure in the world of surveying and has never looked back.
SLAM scanning is becoming more commonplace in the surveying industry due to the ease of use, accuracy, and versatility of the handheld devices. As the technology continues to grow, so do the benefits of handheld scanning compared to traditional means of capturing the measurements of a building. Documenting large spaces is now as simple as walking around the property to capture a pointcloud, saving both time and money for surveyors and their clients.
Virtual Singapore– creating a dynamic 3D city model
Industry
AEC
Time
100 hours
Location
Singapore
Size
376 ground floor void decks
Scanned
Apartment blocks
Singapore is home to some of the most profitable financial services, manufacturing and oil-refining corporations in the world. But with its accomplishments come some very specific challenges for a city-state which is limited by space but still demanding growth.
Determined to future-proof Singapore’s success, the country has embarked on one of the most ambitious digital twinning projects the world has ever seen – creating a dynamic 3D city model and collaborative data platform, including 3D maps of the region.
At the initial stage of the project it quickly became apparent that aerial imagery alone would not be able to capture ‘void decks’ – open spaces typically found on the ground floor of the city’s apartment blocks. These areas, which are sometimes underneath the tower block structure, are used for everything from games areas, bicycle parking, hosting wedding receptions and wakes, and, as estates grow, facilities such as shops, medical centres and even schools.
In the face of fierce competition, GeoSLAM’s ZEB Revo was selected as the most innovative and efficient solution to collect data from these important community spaces.
“A huge time saving exercise which would ordinarily have taken 40 times longer using traditional surveying methods“
With a handheld “go-anywhere” ZEB Revo, field teams quickly captured a dense and accurate point cloud of an entire void deck, which was then used to model the deck geometry and incorporate this into the existing building models.
376 buildings with void decks were scanned using the ZEB Revo, taking approximately 100 hours – an enormous time-saving exercise which would ordinarily have taken up to 40 times longer using traditional surveying methods.
The ZEB Revo is often used alongside terrestrial hardware as the products are highly complementary. The data output can be easily combined through geo-referencing or scan-to-scan matching and then used to build complete 3D models. In this instance, the combination delivered highly detailed and rapid results while significantly minimising costs too.
Beautiful laser show at the marina bay waterfront in singapore
Handheld mapping reduces skyscraper scan time by 30 hours
Industry
Architecture
Time
10 hours
Location
Belo Horizonte, Brazil
Size
8,357 sq/m
Scanned
Skyscraper
Paragram | Words by Jose Vargas
“In the city of Belo Horizonte, there is a distinct mix of contemporary, classic and historic buildings on display, making it a really attractive destination to visit. What comes with the architecture on offer however, is the need to preserve it for tourists and future generations to enjoy.
Often the fragility of buildings or lack of resources means that many buildings go untouched for decades, leaving them to crumble. It’s my job to ensure these relics remain.
When the chance to retrofit electrical installations and a fire prevention plan to a 130-metre art deco skyscraper, the Acaiaca Building, became available, the team at Paragram knew we had to be involved.
“We were very impressed with the quality of information captured by the ZEB Revo.“
Built in the 1940s and once used as a nightclub, cinema, shops and air-raid shelter, the building required some attention in order for it to meet safety standards. Having initially planned to measure the 8,357 square metre building using manual survey methods, estimates told us this would have taken three employees over 40 hours to complete an as-built structure.
Working alongside contractors at Criar Projetos E Consultoria, Paragram decided to use GeoSLAM’s ZEB Revo, known for its ability to quickly generate images to within a few centimetres of accuracy. With the handheld device, the job was expected to take around 10 hours in total, reducing the workload dramatically.
Acaiaca Building
With just two operatives and in under 10 hours, we managed to complete a scan of the building’s interior, with one walking through the building holding the device and another taking a photographic record. This innovative way of working meant we were able to gather much more information than first anticipated, including the registration of beams and roof trusses, electrical installations and engine room areas.
“The ZEB Revo is a real game changer for the architecture industry.“
As a team, we were very impressed with the quality of information captured by the ZEB Revo, which was easily incorporated into a BIM representation using Revit software.
Almost every renovation project is governed by strict time constraints, but with GeoSLAM’s device and its ability to rapidly scan large areas, it is a real game changer to our industry. With products like this at our disposal, I am excited about what the future will hold for heritage buildings in need of a little TLC.
Builders By Design introduce GeoSLAM into their workflow to reduce survey times
Location
London, UK
Scan time
6 – 8 scans per day
Scanned
Residential Properties
Industry
AEC
Builders by Design | Words by Nick Philips
Established in 2001, Builders by Design Ltd are a multi-disciplinary design and construction company based in London. Their expertise and services are mainly in the residential sector for new builds, conversions, and extensions. The core business is a combination of collaborations via competitive tender, negotiated contracts and design and build. They also have a bespoke joinery workshop facility in Park Royal, designing and fabricating furniture, kitchens, windows and doors. One of their greatest achievements to date, was being selected as the main contractor for Peacock House, a new build in Aldeburgh, Suffolk which was awarded a National and Regional RIBA award and was longlisted for Grand Designs House of the Year in 2017.
We spoke with Director, Nick Phillips, following their recent purchase of their GeoSLAM ZEB Revo RT to get an understanding of how this was helping to support their business. Previously, external companies were appointed to produce the 2D surveys which proved to be expensive, time consuming and not without errors and omissions.
Traditional 2D surveys instructed, would only take limited data, meaning important details on areas, such as staircases were incomplete. Inevitably there were times during the later stages of design and construction that the absence of such details required re-working of proposals. The manual process was also not very efficient, as it could take a full day for 1 person to survey a 3-bedroomed house and several weeks to receive the results. Nick identified that projects with existing structures should always start with comprehensive 3D data, which led to the purchase of the GeoSLAM ZEB Revo RT to enable 3D data capture in-house.
“Bringing 3D data capture in house was the obvious next step, with speed and accuracy important factors. For this and other reasons we selected GeoSLAM to provide the equipment and software required. It has had a positive impact on our workflows, which we will look to keep improving“
Before purchasing the ZEB Revo RT, other scanners were considered, such as terrestrial and static, but there were time and software limitations to adopting these more traditional systems. Using these methods was not efficient enough for Builders by Design, as they needed technology with speed, accuracy, and ease of use. Using GeoSLAM handheld solutions meant they could complete between 6-8 scans a day, with the accuracy they needed, whereas a static scanner may only achieve 1-2 scans a day. With current Covid-19 restrictions, having a single operative on site for only 30-minutes to complete the internal and external data capture can bring logistical advantages where a property is still occupied.
Builders by Design have integrated the ZEB Revo RT as an integral part of their digital workflows, providing all the stakeholders with dynamic visualisation material for project design. They use the ZEB Revo RT to scan the 3D point cloud, importing the data into CAD software to create 3D models and 2D planning documentation for the design team. Working in 3D environments together with other visualisation tools has also created a transparency and understanding of design intent between the Architect, the site team and the client that could not have been achieved with 2D plans, sections, and elevations.
Having utilised the GeoSLAM ZEB Revo RT in-house to identify the many benefits to the business, they plan to collaborate with external Architectural and Design practices undertaking their own digital transformation journey, to build templated 2D documentation of existing buildings, 360° site photos, 3D model and bespoke CAD packages. In closing, Nick emphasised that:
“Delivering a point of difference from the competition will become increasingly essential to remain relevant in the market, requiring new 3D technology adoption to assist in achieving fewer errors and more predictable outcomes for all building projects.“
As the adoption of SLAM rockets, and new applications for mobile data capture are discovered each day the value of SLAM is being proven across businesses of all shapes and sizes. GeoSLAM technology continues to break barriers and the ever-increasing profile of SLAM users grows each day.
Blacklight, based in Romania, focuses on information technology that captures, measures and visualises data used in various fields of activity through providing valuable solutions.
Cybernetech Corporation, based in Japan, is a specialised trading company that offer advanced information and communication equipment and geospatial information technology.
Seiler Instrument is an American company that specialises in distributing surveying software and instruments serving industries such as surveying, engineering and construction.
Favre, Développement & Foresterie, based in Switzerland, are experts in geomatics and work with public and private landowners for forest management and environmental heritage.
3DT Digital Manufacturing is an Australian company that use the latest technology to adapt to changes in real time. It aims to help their customers become more efficient and productive.
Sigma Mascot, based in Hong Kong, provides solutions for 3D Laser Scanning, Geospatial systems and BIM services for industries such as Forestry, Construction and Real Estate.
Precision Laser & Instrument is an American company that offers comprehensive positioning solutions for the Construction, Survey, and GIS industries. They ensure high returns on investments and business success.
Export your point cloud into a range of formats, including LAZ, LAS, PLY and TXT. Datasets can also be exported as structured or unstructured E57 files, both of which include embedded panoramic images.
Surface normals at each point can now be computed from PLY and E57 formats, allowing users to export colourised data and create a high-quality polygonal mesh in third party software .
Stop and Go Georeferencing
Known control points are captured during a scan and automatically compared and matched to the associated coordinates during the processing stage in Connect. A rigid and/or a non-rigid adjustment can be made to the dataset and an accuracy report is exported, highlighting how successful the transformation was. Users can now view and manipulate the processing parameters to ensure a more accurate match between points.
Manual Alignment
Align multiple scans using a combination of manual and automatic processes. This workflow can be performed on two or more scans in the same project. Users have a choice to export the aligned scans separately or as a single merged point cloud.
JP Interactive Viewer
Leverage your GeoSLAM data by integrating JP Interactive Viewer into your workflows. JPIV allows you to unlock the full potential of your reality capture data and distribute actionable insights across your teams.
Our support team will be available for GeoSLAM Care customers on:
Monday 26th, 8 am – 4 pm (GMT)
Tuesday 27th, 8 am – 4 pm (GMT)
Wednesday 28th – 31st December – standard support hours
Monday 2nd January, 8 am – 4 pm (GMT)
From Tuesday 3rd January – standard support hours resume
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Click here to view the release notes.
Autodesk Recap
Autodesk Recap contains tools for the manipulation and interpretation of high quality point cloud data and to aid designers and engineers in their creation of 3D models for real-world projects and assets (e.g. buildings and other infrastructure). It’s integrated design features help to streamline workflows, for example Scan to BIM. Recap is used to create initial design projects that users can then take into other Autodesk modules (e.g. Revit, Navisworks, AutoCAD).
Autodesk Navisworks
Autodesk Navisworks is a comprehensive project review solution that supports co-ordination, analysis and communication of design intent and constructability. The software can be used as a common data environment (CDM) for multidisciplinary design data created in a broad range of Building Information Modelling (BIM) packages. Using the tools within Navisworks, users can anticipate and minimise and potential problems between the physical building and the structural model.
Autodesk Revit
Autodesk Revit is a building information modelling (BIM) software. It contains tools which allows for planning and tracking throughout the building’s lifecycle. The software also allows multiple disciplines to collaborate more efficiently and make more informed decisions early in the design process. As GeoSLAM’s hardware allows for quick data capture, the equipment can be used to scan any existing buildings with the purpose of using the data to produce a digital twin.
Orbit GT allows users to capture and manage available 3D data (LiDAR data and imagery), extract a range of features for map production and make data sharable. All Orbit modules are ready to be used with 3D data from indoor, oblique, UAS and mobile mapping projects with other extensions that can be added to the Publisher and Orbit Cloud. Orbit can be used with the ZEB Discovery solution.
ContextCapture
ContextCapture is a reality modelling tool, allowing for the import of any point cloud and imagery data for the creation of high resolution reality meshes. These realistic meshes are accurate representation in 3D with high resolution RGB values of any scanned environment. By using GeoSLAM data in ContextCapture the users are able to create indoor reality meshes, which has been never possible before.
Microstation
Microstation is a 2D/3D software for designing building and infrastructure projects. It includes building information modelling (BIM) tools to document and assess any type of asset throughout its lifecycle. GeoSLAM solutions are often used in Microstation in the underground mining sector and to assess the current stage of any built environment, update the design model, and generate BIM information.
Deswik
With the GeoSLAM Connect stop-and-go georeferencing feature, users can easily georeference headings from known positions and map for analysis of overbreak, underbreak, undercutting and blast roughness calculations. This information is used within Deswik Mapping to analyse headings and levels.
Esri
Outputs from GeoSLAM’s solutions can be input to Esri’s GIS programs and apps, including ArcPro, ArcDesktop, ArcGIS Online and ArcScene. Join point clouds with local geodata or classify and edit scans based on their geography and statistics.
Micromine is a detailed and diverse mining software that provides solutions including modelling, estimation, design, optimisation and scheduling. Once data is exported from Connect it can be imported into Micromine and easily converted into wireframes. These can be used in Micromine for further studies into volumetric slicing, over and underbreak analysis, geologic modelling, face mapping and many more.
Terrasolid provides tools for data processing of airborne and mobile mapping LiDAR data and imagery. It includes different modules for tasks like data manipulation, calibration, georeferencing, point cloud classification, modelling and many more. It is a very powerful tool for a variety of industries, surveyors, civil engineers, planners, designers. Full, UAV or lite versions of Terrasolid modules are available for both MicroStation or Spatix software. All GeoSLAM products are compatible with Terrasolid and GeoSLAM data can be enhanced and edited with this software.
Floorplanner
Floorplanner allows you to draw accurate 2D floorplans within minutes and decorate with over 150,000 items from kitchen appliances to tables and chairs. Data is exported from GeoSLAM Connect in PNG file format with a scale of 1cm per 1 pixel and can be taken into Floorplanner.
Unity
GeoSLAM 3D point cloud data can be imported into Unity 3D Game Engine to generate interactive 3D scenes, where users can create 3D BIM models with textures and explore the space in 3D photorealistic environments.
Unreal Engine
Although Unreal Engine is mainly built for developing games, increasingly users are starting to use it to develop VR applications for understanding the current conditions of buildings, infrastructure and similar. Unreal Engine with a point cloud plugin can be used to visualise GeoSLAM point clouds in VR, which allows for collaboration, simulation and the understanding of current conditions of any scanned environment. Additionally, Unreal Engine tools are completely free.
Veesus Arena4D
Arena4D is a software package for marking up, annotating and editing 3D point cloud data containing a various export capabilities. It has a powerful and simple to use animation package which allows users to visualise massive point clouds in a simple way. GeoSLAM data can be simply uploaded and used in this package for the assessment of the current conditions of any structure, comparing differences between captured data (as built) to designed model (as designed).
Pointfuse
Pointfuse generates 3D meshes from point cloud data and classifies them to building ceilings, walls, windows and other features in IFC format. By using GeoSLAM data with Pointfuse users can very quickly create a classified BIM model with minimal manual input or expertise needed.
MineRP
MineRP has a Spatial DB that uses GeoSLAM data to represent visually the real environment of the underground mine. The software uses other data layers to overlay information on the digital landscape for decision making and tracking.
Pointerra
Pointerra provides a powerful cloud based solution for managing, visualising, working in, analysing, using and sharing massive 3D point clouds and datasets. Pointerra allows users to simply visualise and interrogate GeoSLAM data from anywhere.
Nubigon
Nubigon is a software solution that allows users to seamlessly interact with large point clouds and create visualisations and animations. Take your GeoSLAM point cloud data into Nubigon to create eye-catching flythrough videos.
Here is an example of a visualisation created in Nubigon using GeoSLAM point cloud data:
SLAM Environmental Pre-sets
Common data capture scenarios, such as UAV, outdoor, indoor, linear, and vehicle, have been characterised in Connect and data processing pre-sets for each environment have been defined. These can be selected at the beginning of the data processing stage allowing this process to be highly simplified.
Closed and Open Loop Georeferencing
Both methods match the scan data from a ZEB Locate system with the GPS data collected from the antenna to georeference the point cloud. When a scan starts and ends in the same place, this is classed as “closed loop”. “Open loop” is when the start and end position of a scan are in different locations. Standard SLAM practices apply to both methods of data collection.
Open Loop SLAM for the ZEB Locate is available on request – let’s talk about it.
Stop and Go Alignment
Common static points are captured during several scans meaning that these datasets can be automatically aligned. A single point cloud is then exported as if the data was captured in a single scan.
Floor Slices
Horizontal and vertical slices can be taken from any location within the point cloud. Horizontal floor slices can also be automatically taken at a given height above the floor as defined in the processing stage.
Change Detection
Mostly used in the construction industry, multiple point clouds can be compared and any areas that have changed are automatically highlighted. Point clouds can also be compared with CAD models – for instance to track progress on a construction site – and PDF reports can be generated to present this information.
Queued Processing
Import multiple .geoslam files into Connect for processing and the scans will be processed in the order they were imported. The size of the queue can be defined by the user.
Enquire about the ZEB Horizon RT
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If your internet connection allows, move the Point Budget slider to the maximum amount available to view all the points in the cloud.
Making the point size smaller using the Point Size slider makes the data easier to view and interpret.
In the tools section of the viewer, you can measure the distance and angles of features within the pointcloud.
Using the materials section of the viewer, you can use the Select Attributes dropdown to view by intensity, elevation and RGB (if pointcloud is coloured)
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Coupling with hardware
Some SLAM software algorithms have been made available as open-source on the internet, but they are purely algorithms and not a product that you can take and use off-the-shelf. SLAM is most successful when it is tightly coupled and designed with specific hardware in mind. A generic SLAM cannot perform as well as one that has been specifically designed for a purpose.
Usage in multi-environments
Visual SLAM is closer to the way humans navigate the world, which is why it’s popular with robotic navigation. But in the same vein, vSLAM will have the same image-capture challenges as humans do, for example not being able to look into direct sunlight, or not having enough contrast between the objects picked up in the image. These can be overcome indoors, however, you may need to map a forest, tunnel or urban canyon. While SLAM technologies don’t rely on remote data (meaning you can scan areas where there is no GPS), you do need to ensure the SLAM technology you chose operate well inside, outside, in daylight and darkness.
Real-time data capture
Mapping a property is time-critical. Ideally, you want to make a single visit and gather sufficient data to create a highly accurate 3D model. Ensure the software you choose transforms 3D point cloud data into actionable information in real-time. This allows you to view and interrogate your data whilst still in the field, and make any adjustments, or collect missed data, then and there.
Flexibility and deployment
If you’re trying to map an enclosed environment (e.g. tunnel, mine) or a complex, difficult-to-access space such as a heritage building with tight stairwells and uneven floors, you need to use fully-mobile, adaptable technology. Wheel-based systems, often used with the vSLAM camera, will struggle with access. Handheld devices or LiDAR scanners that can be attached to a drone or pole and still deliver accurate results in a rugged environment are best for navigating hazardous spaces.
Speed and accuracy
While vSLAM is able to provide a qualitative high-level map and sense of the surrounding features, if you’re needing survey-quality accuracy and rich-feature tracking at a local level, you’ll need to consider LiDAR. Cameras require a high-frame-rate and high processing to reconcile data sources and a potential error in visual SLAM is reprojection error, which is the difference between the perceived location of each setpoint
and the actual setpoint.
Quality and distortion
In order to deliver the depth required for high-quality data, a number of depth-sensing cameras are needed with a strong field of view. In most cases, this isn’t possible, especially as cameras with high processing capabilities typically require larger batteries which weigh down airborne scanners, or limit the time of flight. LiDAR is both faster and more accurate than vSLAM, and can deliver detailed point clouds without expensive (and timely) camera processing.