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Exploring narrow passageways and underground spaces in Belfast

Location

Belfast, Northern Ireland

Scan time

5-17 minutes per scan

Size

1km2 block

Scanned

Belfast City Centre

Industry

Surveying

The threat of flooding has become more prominent for coastal cities and centres as sea levels continue to rise. To mitigate the risk to these areas, research by the UrbanArk project intends to improve the resilience and preparedness of urban centres and communities. The project focuses on underground spaces including car parks, storage areas and public facilities, as priority risk areas during a flood. Typically, these underground areas are not considered in flood models, which makes UrbanArk’s work even more important. To gain a better understanding of these spaces and how best to prepare them for risk, UrbanArk aims to create flood inundation models. The models track the severity and rate of the flood as well as the path that the water will travel as the flood occurs.


Research for UrbanArk’s project took place across three universities: Queen’s University Belfast, University College Dublin, and New York University. Dr. Aaron Miller completed his PhD thesis as part of this project at Queen’s University. His goal was to focus on the collection and analysis of required data ahead of the model’s creation. In Belfast specifically, there is a considerable amount of subsurface parking and below-grade office space, which Dr. Miller also planned to scan from street level.

Comparing different methods of LiDAR scanning

For his thesis, Dr. Miller analysed the benefits of handheld LiDAR for mapping underground spaces in Belfast. In particular, he aimed to survey basements as well as the streets of Belfast to assess where basements and underground spaces may exist. When deciding on the methodology for his thesis, Dr. Miller compared multiple LiDAR data collection methods. This included reviewing previously collected data of an area of Belfast, using the FARO Focus.


Whilst static data was more accurate, UrbanARK’s project required a scanning method that was cost-efficient, repeatable and specifically capable of capturing street-level and underground, as well as transitioning easily. Furthermore, as the project specialised in underground spaces and the surrounding narrow streets of Belfast, they required a versatile scanner to capture these hard-to-access areas.

Scanning Belfast city centre with the ZEB Horizon

Consequently, Dr. Miller opted to use GeoSLAM’s ZEB Horizon as its maneuverability and speed of capture were invaluable for his work. During his comparison, the ZEB Horizon had high enough accuracy for the needs of his thesis and UrbanARK’s project.


Dr. Miller’s data collection spanned a 1 km2 area around Belfast, split into several blocks, which covered most of the city centre. He scanned each block separately, georeferencing and merging them into one final point cloud. Dr. Miller georeferenced by identifying features within the point cloud and matching them to their real-life location. These areas in Belfast include tight passageways and streets, which the ZEB Horizon’s handheld capabilities provided easy and quick access with little disruption. Additionally, the speed of capture of the ZEB Horizon meant data collection was efficient, with 50 scans carried out, lasting 7-15 minutes each.


Georeferencing the data was vital for UrbanArk as it means they can scan certain blocks again, as often as required and merge the new data into the existing point cloud. The repeatability of the scans allows for updated information as the environment inevitably changes over time.

Understanding flood patterns with GeoSLAM data

Dr. Miller used GeoSLAM software to process the ZEB Horizon data and merge the individual datasets into one coherent point cloud. He also used third-party software, Cloud Compare, to analyse the point cloud and collect the required data.


With this data, UrbanArk calculates information on potential flood heights and rates to share as 2D maps and VR walkthroughs within communities. Educating communities contributes to UrbanArk’s aim to increase the resilience and preparedness of urban centres in the event of a flood.


Dr. Miller also explored the volumes of basements and parking lots to understand the amount of water they would hold in the event of a flood. Additionally, the inclusion of underground spaces and small street features have proven to impact the inundation rates and floodwater flow within the output flood models.

The GeoSLAM ZEB Horizon proved itself to be an efficient tool for urban mapping, due to its combination of manoeuvrability and accuracy. The user-friendly nature of the scanner promotes widespread use, from novice to expert level surveyors.

To find out more about UrbanArk and their project, visit: A Joint Research Project under the US-Ireland Research and Development Programme (urbanark-project.org)

This work was supported by a research grant from the Department for the Economy Northern Ireland under the US-Ireland R&R Partnership Programme.

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).

Elephant Cave

Location: llandudno, Wales
ZEB Scanner: ZEB Horizon

This data demonstrates the ease of capture when transitioning from overground to underground, with the ZEB Horizon.

Would you like to see a specific dataset that’s not on this page? Contact [email protected]

Accelerating Processes and Streamlining Fieldwork at Cabot Survey Partnership

Location

Johannesburg, South Africa

Scan time

Approx. 10 minutes per scan

Size

Range from 400m2 to 20ha

Scanned

Large exterior spaces

Industry

Surveying

Cabot Survey Partnership is a leading South African surveying company that provides civil and structural surveys, and CAD services, to a range of clients in the AEC and mining industries. To stay ahead of the competition, Cabot is always looking to innovate, implementing technology that can help deliver accurate and comprehensive results faster.

In this case study, we’ll explore Cabot’s use of handheld LiDAR scanners to speed up processes and reduce fieldwork.

The decision to use handheld LiDAR

Traditional methods for surveying

Cabot originally used static-based LiDAR solutions to carry out surveys and collect data for their clients. While this method is highly accurate, they realised that they needed to produce similarly accurate results faster, to reduce overall fieldwork. They required a solution that could easily and efficiently capture large spaces ranging from 400m2 to 20ha.

Transforming a small business

As a small business, balancing workload with capacity is vital for Cabot Survey Partnership.

To stay competitive, Cabot invested in handheld LiDAR technology, that would have a direct and positive impact on their business by:

  • Streamlining their workflows and completing jobs faster, allowing them to take on more projects
  • Understanding their customer needs and diversifying business offerings accordingly
  • Requiring fewer resources to complete projects

Gustav Fick, Segment Manager at OPTRON (Pty) Ltd, the local supplier of GeoSLAM technology in South Africa, understood Cabot’s business requirements and recommended a GeoSLAM solution to help their business expand. Consequently, Cabot made the switch to handheld LiDAR, resulting in streamlined projects and enhanced time efficiency.

How Cabot use the ZEB Horizon

In 2019, Cabot acquired a ZEB Horizon and became the first private surveying company in South Africa to use the technology. The ZEB Horizon’s ease of use and lightweight nature help Cabot deliver accurate and comprehensive results faster, with only one person needed onsite to capture data. This allows Cabot to cover multiple sites simultaneously, reducing the overall time spent collecting data.

The laser scanner’s adaptability to the range of solutions Cabot offers means they can carry out 50-60 scans per month, with most scans taking under 10 minutes, depending on the particular solution and scanning environment.  

Clients have commented on the quality of the scan deliverables, stating that they can now visualise the data points better. They are also impressed with the overall results of the project.

Solutions

Cabot uses the ZEB Horizon for a variety of applications resulting in reduced fieldwork, by roughly 80%. The laser scanner now works across three primary surveying solutions.

Stockpile measurements

They carry out 10-15 scans of stockpiles per client, each month. The walk-and-scan method of GeoSLAM technology is vital for scanning stockpiles, especially those inside buildings or in between multiple structures. Within an hour of processing the data, Cabot begin calculating measurements of the stockpile, delivering a fast end-to-end solution.

According to Arnold Bothma, Managing Director of Cabot Survey Partnership, surveying a concentrated area in a platinum processing plant used to take about two hours with a robotic total station. However, with the ZEB Horizon, the process now takes about eight minutes, and the actual model takes around 30-40 minutes, resulting in significant time savings for the team. This increased efficiency allows them to spend more time analysing the data rather than capturing it.

Infrastructure applications

Cabot utilises the ZEB Horizon to determine the precise distance of cable racks, which are structures designed to organise long distances of cables or wires, across large areas. The accuracy of these measurements is critical, especially in cases where the cables are one-piece, and the lead time for ordering a new cable is as long as six months. With the ZEB Horizon, they were able to obtain the necessary data promptly, and provide clients with the exact measurements required for cable orders. Thanks to the scanner, clients were able to order cables with confidence, knowing that their measurements were precise and accurate.

Cabot create their deliverables, including stockpile calculations and topographical detail contour plans, using Trimble Business Centre.

Conclusion

The speed, accuracy, and flexibility of the ZEB Horizon have been extremely beneficial for Cabot Survey Partnership. The laser scanner’s capabilities have reduced their time onsite, increased productivity, and expanded the total amount of projects they can undertake. The speed of capture has led to safer data collection for surveyors, and clients receive deliverables faster. Using GeoSLAM technology, Cabot has carried out approximately 1000 scans, and this number continues to grow.

With handheld LiDAR technology, Cabot Survey Partnership is setting the bar for efficiency and accuracy in the survey industry.

Get in touch

If you’d like to learn more about how GeoSLAM solutions can help you, submit the form below.





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    Digitising 163 apartments in the heart of Hamburg

    Location

    Hamburg, Germany

    Scan time

    25 minutes per scan

    Size

    163 apartments and 13 staircases

    Scanned

    Apartment Building

    Industry

    Surveying

    Danish-based digital modelling company, Eseebase, works to digitise building assets globally. They collect relevant, accurate data and information, with the aim to make the maintenance of buildings more effective. During the lifespan of the company, they’ve created digital assets for more than 9 million square meters of space and over 400,000 flats within the housing sector.

    This case study will dive into a recent project, that required the need for fast and accurate data capture, using GeoSLAM handheld scanners.

    Mapping a residential apartment block in Hamburg

    SAGA, controlled by the State-City of Hamburg, is Germany’s 3rd largest housing company and has nearly 140,000 residential units. They required up-to-date information and measurements of a large apartment building. Upcoming renovations to the apartment block meant that the information needed to be accurate and returned in a timely manner.

    SAGA tasked Eseebase to capture the data. The team’s goal was to create up-to-date CAD drawings and a 3D model (BIM) of the apartment block.

    The residential building has 163 apartments and 13 staircases that span across 7 floors. Furthermore, residents currently live in the apartments, so speed and professionalism were a priority. To limit disruption, the team had a few hours per day to scan the building. As a result, a requirement for an accurate and time-efficient method of data capture was essential.

    Finding an effective solution in handheld LiDAR

    Eseebase opted to work with GeoSLAM technology, as they are familiar with the solutions and workflows. For this project, the team obtained a ZEB Horizon scanner. They also made use of the ZEB Vision camera claiming the bubble walk-through feature from the 360o panoramic images were a useful reference when modelling.

    The ZEB Horizon’s walk and scan method was a simple way of capturing an environment without any difficult setups. It also was a less intrusive way of obtaining data, benefitting the residents in the apartment blocks.

    Additionally, the laser scanner transitioned well between apartments to hallways and stairwells, as well as from indoors to outdoors. The ZEB Horizon’s ease of use meant training was minimal, and there was a reduction in time spent in the apartment block.

    The ZEB Horizon’s speed of capture also allowed Eseebase to scan the building’s interior in under three days, carrying out 7-10 scans per day that lasted 25 minutes each.

    With the interior captured, the team focused on the exterior of the building. A close-up walk around the building gathered the necessary data, and a wider loop helped to capture the roof. A large body of water surrounds one side of the building, therefore Eseebase had to get creative and scan from a small boat they hired. The mobility of the scanner overcame this problem, whereas other mapping solutions would struggle due to their cumbersome nature.

    Essebase used GeoSLAM Connect to process the final point clouds and they automatically merged the 23 individual datasets into one large point cloud.

    Autodesk ReCAP produced RCP files from the point cloud, which was then imported into Revit where the CAD Drawings and 3D model was created.

    Conclusion

    In just three weeks Eseebase had presented the final deliverables back to SAGA. The speed of capture the ZEB Horizon provided cut down the overall delivery time, and the mobility saw that the process didn’t largely affect the residents.

    Eseebase found GeoSLAM’s technology so efficient and beneficial that they have recently acquired the ZEB Horizon RT. They plan to use it, with the ZEB Vision, for future projects in Germany following similar workflows.

    Ernst Koppensteiner, Head of Data Registration and Quality Assurance at Essebase, says “Capturing a building of this size comes with its difficulties, especially when scanning multiple staircases and rooms over several floors. The ZEB Horizon allows us to easily capture the necessary data quickly and with no issues”.

    The ZEB Horizon is the most versatile scanning device we have found when it comes to using one system for Outdoor scanning, Indoor scanning and scanning in very confined spaces like cellars and attics”
    – Ernst Koppensteiner, Head of Data Registration and Quality Assurance, at Eseebase

    Using LiDAR for site documentation

    Location

    Rovinj, Croatia

    Scan time

    20 minutes per scan

    Size

    1110m x 700m

    Scanned

    Campsite

    Industry

    Surveying

    Whether you are cruising down the Adriatic coast, visiting the famous Game of Thrones filmsets in Dubrovnik or experiencing some of Croatia’s famous cities; with visitors to Croatia more than doubling since 2010, tourism has become an important part of the Croatian economy.


    In the North sits the Istrian peninsula, a place known for its beauty, history, amazing food, and a place tourists flock to year on year both domestically and internationally. A sharp increase in visitors has meant that tourism sector has needed to adapt to the exponential growth.


    The Maistra group is one of Croatia’s leading tourist companies. They manage 18 hotels, 11 tourist villages and 6 campsites in sought out destinations such as Rovinj, Vrsar, Zagreb and Dubrovnik. With so much property to manage, they need quick and efficient ways to keep their site documentation up to date. In early 2021 they approached GeoSLAMs Croatian dealer, Geocentar, requesting a scan of one of their campsites in Rovinj on the Istrian peninsula.

    Working with the ZEB Horizon in Rovinj

    Due to the size of the site, 1100m x 700m, the team at Geo-Centar opted to tackle the scan using GeoSLAMs ZEB Horizon, plus aerial photogrammetry. The aim of the survey was to create up to date campsite documentation in the form of 2D vector maps, high resolution 2D raster maps, georeferenced imagery, and a digital terrain model with contours. As a result of the campsites age and need to modernisation, the documentation will serve as a reference for design purposes.


    Combining both high resolution orthophotos of the area with the point cloud from the ZEB Horizon, the team were able to capture data quickly, accurately and without disruption. By utilising the walk-and-scan method of capturing data, they were able to make light work of the task.

    Being able to walk and scan is a true blessing in such situations since any other scanning method is either much slower or much more expensive.

    In total, 10 scans were conducted which mainly focused on buildings, terrain covered with vegetation and other objects that would be tough to capture with aerial photography. Each scan took approximately 20 minutes, so the team were able to cover the entire 1100m x 700m in just over 3 hours. Using the scans, the team were able to extract roads, sports fields, fences, stairs buildings and roads.

    Post Scan

    During the scan, the team used a survey grade GNSS receiver to georeference the data. The team used GeoSLAM software to accurately georeference the scans which enabled them to correct any trajectory drifts that may have occurred during the scan. This further ensured that accurate and quality data was delivered to the client.

    In addition, the team were able to georeference images taken alongside the scan and open them in GeoSLAM Draw. The software was then used to export the web version (HTML) of the top view layout containing the location of the images. This HTML was easily shared with investors and engineers working on the same project, providing a visual impression.

    The pointcloud data was exported to 3rd party software, where the team were able to create the documentation and maps for their client.

    Results

    The team were successfully able to map the campsite and extract the data needed to create high quality survey maps, a digital terrain model and contours, which will now be used to modernise the campsite.

    Get in touch

    If you’d like to learn more about how GeoSLAM solutions can help you, submit the form below.





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      GeoSLAM and its authorised partner network will use the information you provide to contact you about products and services. You may unsubscribe from these communications at any time. For information on how to unsubscribe, as well as our privacy practices and commitment to protecting your privacy, please review our Privacy Policy.

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      The role of LiDAR in bringing ‘Industry 4.0’ to Norwegian forestry

      Location

      Ås,
      Norway

      Scan time

      Approx. 10-20 minutes per scan

      Size

      250 Sq/m plots

      Scanned

      Norwegian forests

      Industry

      Forestry

      SFI SmartForest and LiDAR in Norwegian forestry

      The SFI SmartForest is a part of the Centres for Research-based Innovation scheme of the Research Council of Norway. It aims to position Norway’s forestry sector at the forefront of digitisation by 2028. The primary goal of the 8-year research centre is to improve the efficiency of the Norwegian forestry sector by enabling a digital transformation, using innovative technologies, such as LiDAR. They aim to increase productivity, reduce environmental impacts, and review other significant climate benefits.

      SmartForest are focusing on silviculture, forest operations, wood supply, and the overall digital information flow. The hope is to bring industry 4.0 to the Norwegian forestry sector by having a free flow of information and real-time communication, through innovative and enabling technologies.

      The interconnectivity of data and technology will not only result in the long-term success of the forestry sector in Norway but also contribute to limiting potential environmental impacts.

      LiDAR is one of the enabling technologies that will help them collect accurate data for ground truthing. The point cloud is forming a basis for deep learning models that can eventually apply to much larger mapped areas.

      Why is mobile LiDAR required?

      The forest is dense with trees, the floor is often rough terrain, and it is usually hidden beneath a thick canopy of vegetation. To capture 3D models of the forest, SmartForest need a mobile LiDAR solution that can map from the ground and a UAV-based LiDAR solution to capture properties of the tree canopy.

      Data acquisition is only one part of a larger workflow that can include segmentation algorithms, allowing for further exploration of the physical attributes of individual trees such as tree height and distribution. It’s important for the data to be precise, to ensure accurate monitoring of the forest.

      An obvious solution was a static-based terrestrial laser scanner (TLS), however, despite the accuracy levels being incredibly high, the speed of capture was impeded by the need for several scans in one area. As the project progresses and the need for scanning larger areas increases, TLS becomes a less likely option.

      Another choice was a UAV-based solution that can capture large areas in a short period of time. Though SmartForest works with UAV to capture the forest canopy, it’s less effective at penetrating thick vegetation to collect forest floor and trunk data than it is from the ground.

      After looking around the market, they opted to try mobile laser scanning as a solution that could quickly capture ground data to an accuracy high enough for their needs.

      Vegetation, trunks and terrain

      Trunks and terrain

      Terrain

      Working with GeoSLAM’s ZEB Horizon

      SmartForest chose GeoSLAM’s ZEB Horizon scanner for its speed of capture, ease of use, and mobility. Projecting 300,000 laser points per second with a range of up to 100 meters, the scanner produces dense point clouds of large areas, in a short period of time. The accurate point cloud includes the forest floor, debris, tree trunks, and thick vegetation.

      Frequent data acquisition is a key part of SmartForests plans and GeoSLAM’s handheld LiDAR scanner, alongside UAV data capture help to achieve this. The ZEB Horizon’s ease of use makes data acquisitions a repeatable task and the high accuracy of data provides a foundation for deep learning models.

      The point clouds are processed in GeoSLAM’s software package and imported in 3rd party solutions, where sophisticated algorithms are applied to segment the data. Automatic segmentation of the tree trunks allows for easier tree counts and tree segmentation provides precise forest inventory, down to the individual tree. The digital separation of trees will lead to the extraction of features such as wood quality, biomass, and other ecologically relevant variables.

      Scanning with the ZEB Horizon is a very efficient way to collect ground truth. Eventually, we want to use it for large-scale mapping applications.

      Conclusion

      The long-term plan for the SFI SmartForest is to bring industry 4.0 to the Norwegian forestry industry, using emerging and enabling technologies. Handheld LiDAR scanning has been identified as an efficient way to map the forest from the ground, providing accurate point clouds which serve as the basis for deep learning research opportunities.

      They hope to use GeoSLAM’s ZEB Horizon for other applications in the future, having seen the versatility of the scanner.




      If you’d like to learn more about how GeoSLAM solutions can help you, submit the form below.





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        GeoSLAM and its authorised partner network will use the information you provide to contact you about products and services. You may unsubscribe from these communications at any time. For information on how to unsubscribe, as well as our privacy practices and commitment to protecting your privacy, please review our Privacy Policy.

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        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).

        Railway Line

        Location: Norway
        ZEB Scanner: ZEB Horizon
        Scan time:
        15 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).

        Clifton Suspension Bridge, UK

        Location: Bristol, UK
        ZEB Scanner: ZEB Horizon and ZEB Vision
        Total Scan time:
        16 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).

        Africa Museum

        Location: Belgium
        ZEB Scanner: ZEB Horizon and ZEB Vision
        Total Scan time:
        20 Minutes

        Would you like to see a specific dataset that’s not on this page? Contact [email protected]

        ZIEN24 use GeoSLAM scanners to create measurement reports for the Real Estate Market

        Location

        Netherlands

        Scan time

        Approx. 15 minutes per scan

        Size

        Varies per scan

        Scanned

        Residential & commercial properties

        Industry

        Real Estate

        Real Estate in the Netherlands

        Real Estate is a fast-moving and highly competitive market. Companies are reliant on good customer relationships based on trust. They realise the importance of providing accurate measurements and specifications of the properties they are advertising. Buildings incorrectly measured could be under or overvalued, which could result in complaints, invalidate a sale, or damage their reputation.

        This is particularly pertinent in the Netherlands, as they have placed a high level of importance on delivering accurate floorplans when advertising a property. In fact, a new regulation was introduced in 2010 after properties in Amsterdam were sold at a higher cost, after being overvalued due to incorrect floorplan measurements. The regulation, BBMI, requires businesses advertising properties to provide accurate floorplans or face potentially heavy fines.

        This required businesses to think differently about how they could quickly and accurately assess the properties they were advertising.

        How ZIEN24 create Measurement Reports for Real Estate

        Rotterdam based media and marketing company, ZIEN24, realised they needed to modernise how they measure properties in light of the regulations. ZIEN24 produces content and digital floorplans for estate agents, covering all types of residential and commercial properties.

        The company began measuring properties using laser rangefinders, which were not only time-consuming but also not cost-effective. The company received complaints when properties were not measured within the limits of the regulation, and the team had to occasionally return to properties to re-measure them. In addition, ZIEN24 was sending both photographers and surveyors to properties, which was not cost-effective or ideal for their clients.

        Having worked with point clouds previously, ZIEN24s co-owner, Boy Van Houten, thought that they could be the solution for accuracy. However, they needed a setup that was quick and effective, so static-based systems were not an option. After researching different scanner options, they decided to try GeoSLAM’s ZEB Revo RT with the ZEB Pano accessory.

        Why ZIEN24 chose to work with the ZEB Revo RT

        The ZEB Revo RT is highly accurate, fast, and easy to use. As it requires minimal training, ZIEN24 taught their photographers to scan properties when they’re on location taking marketing photos. This negated the need for a surveyor, saving ZIEN24 money which could be passed on to their clients. The scanners accuracy largely removes the risk of human error, and ZIEN24 have not received any complaints since starting to use GeoSLAM scanners back in 2019.

        The addition of the ZEB Pano allows them to take informative 360 degree panoramic photography, at a much quicker pace, during a scan. The ZEB Pano stores the exact location of each panoramic image within the scan, enabling more accurate and less intrusive property surveys. This is vital for ZIEN24, as the popularity of virtual house tours increases within the real estate industry.

        The GeoSLAM scanner not only gives us confidence in the end product but gives our clients peace of mind knowing that our fully-automated measurements are highly accurate.

        How the ZEB Revo RT has helped ZIEN24 with their Real Estate services

        As the scanner captures in real-time, the photographers can easily ensure that they are capturing every room, as they walk around. Furthermore, the speed of capture, 200m2 in 15 minutes, means that more properties can be assigned to photographers per day. The data is then processed in their offices in China, and accurate floorplan reports are typically turned around within 24 hours.


        The ZEB Revo RT has also helped them to expand into other markets, and they now offer scanning services to support BIM models.




        If you’d like to learn more about how GeoSLAM solutions can help you, submit the form below.





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          GeoSLAM and its authorised partner network will use the information you provide to contact you about products and services. You may unsubscribe from these communications at any time. For information on how to unsubscribe, as well as our privacy practices and commitment to protecting your privacy, please review our Privacy Policy.

          Opt in to the FARO mailing list for updates and offers.


          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).

          Klagenfurt Cathedral

          Location: Austria
          ZEB Scanner: ZEB Horizon
          Scan time:
          18 Minutes

          Would you like to see a specific dataset that’s not on this page? Contact [email protected]