VERCATOR SERVICES
AUTOMATED EXTRACTION FROM POINT CLOUD DATA
Vast and complex data sets can be generated by 3D terrestrial laser scanners; this data is a fantastic resource and offers a range of potential opportunities for those who interact with them.
Improvements within cloud infrastructure have realised the potential of point clouds in the cloud. Harnessing limitless data and the power of cloud computing enables the 'holy grail' of point cloud processing to be a reality.
With the Vercator Cloud we have a pipeline of development which will allow access to automated point cloud processing services, access will be for all, at an affordable price point.
DATA CLASSIFICATION
Classification of objects is the first stage in breaking down the complexity of a large point cloud data set.
Having the ability to separate small subset elements from within the larger point cloud will enable items to be categorised, counted, and attributed.
With the VERCATOR cloud classification service you will be able to specify the object you wish to search for e.g. a road sign or a chair etc, the point cloud will be analysed and the objects logged into a database.
VISUALISATION & ANIMATION
Increasingly point cloud data is colourised using HD photography acquired onsite. The photographs can be perfectly overlain to the pointcloud; the RGB value is applied directly to the corresponding 3D point; producing a 'pixel perfect' fully colourised cloud.
With the VERCATOR visualisation service you will be able to view the scene from each scan location, transition or walk between scan locations, take discrete measurements, and create animated fly-throughs through the whole point cloud. You will have the facility to add 'notes' to objects/fenced areas within the cloud also.
OBJECT EXTRACTION
The classification of smaller subsets from within the larger point cloud will enable items to be categorised. Once the subset divisions have been made, model geometry can where possible be applied. A surface triangulation mesh will be generated which can then be created into a solid surface.
With the VERCATOR object extraction service you will be able to extract out initially key primitives e.g. surfaces (floors, walls, and ceilings), pipes, steel members. This will extend eventually to enable all classified objects required to be modelled.
INTEGRATED SHARING SYSTEMS
With collaboration and efficiency high on the agenda of most organisations having data which can be accessed and shared from a secure location is highly desirable.
Point clouds have long been thought of as 'too large' to be stored and shared from the cloud. However, with digital infrastructure improvements this simply isn't the case.
The VERCATOR cloud not only offers processing efficiencies; importantly, once you have located your data set in the cloud, with the correct administration permissions can work within the cloud and you can also share from the cloud with colleagues and clients.
WE OPERATE WITH THE FOLLOWING DATA FORMATS:
INPUT FORMATS
ptx | pts | e57 | las | laz | ply
Faro fls | Z+F zfs | Riegl rdbx
OUTPUT FORMATS
xyz | ply | pts | e57
las | laz | rcs
OUR PLATFORM
agile . scalable . efficient . reliable
Let’s talk about our 30-day free trial…
This is your risk-free opportunity to gain full access to all the tools available in the VERCATOR cloud, without needing to sign any contracts or submit any payment details.
What can I expect from my free trial?
- 30-days FULL access to all VERCATOR commercial services
- 50 FREE tokens to use for testing
- UNLIMITED cloud storage for the duration of the trial
What does the VERCATOR service offer?
- Automated 3D pointcloud registration; automation drives efficient, optimised workflows
- Enhanced accuracy with traceable, repeatable reporting; using both cloud-2-cloud and plane-2-plane
- Rapid Format Conversion service; providing compatibility with all common data formats
No access to any of your own data? No problem! We've a sample data set available with every Cloud account...there really is no better time than now!
START YOUR TRIAL TODAY
Sign up to your FREE trial of the VERCATOR CLOUD