If we could connect a dataset to a trimble project and bring the ifc models from there to the cloud visualization, that would be a huge improve to the workflow.
Imagine that with Pix4 Catch v2+RTK. A true AR of the project
To import and visualize IFC files in an augmented reality AR environment using PIX4Dcloud AR, it’s essential that the IFC file is properly aligned with the point cloud or 3D mesh in PIX4Dcloud. This means the IFC file must be georeferenced and imported into PIX4Dcloud in the same coordinate system as the project.
For enhanced project visualization in AR using PIX4Dcloud AR, you can adjust layer opacity and modify properties directly within the AR interface. This allows for fine-tuning annotations and design overlays to suit your specific needs. To exit PIX4Dcloud AR and return to the standard interface, you would access the tool menu within the AR interface and select the option to exit the AR mode. You will then be prompted to confirm your decision to exit.
For a more detailed guide on the process, you can refer to the PIX4D documentation:
IFC georeferencing is something we are very used to do it and most of our projects ifc models are done by our company (earthworks, site, drainage, …) so getting things to align is easy.
We have tried the ifc tool on site on many ocasions now and it works as discribed on your links. But only one model at a time and one model per capture.
Normaly we already habe a Trimble Connect set up with 30+ models from all disciplines and they follow the whole lifecicle of the project, not only one capture.
What I’m suggesting is a link of the whole site to the whole trimble project folders to quickly access all of the models inside it. In any capture dataset, any where and any model.
How it works now is like this: if I want to see the drainage model, I have to open the dataset, upload the new ifc model and substitute the one there, then bring it to the AR.
What I suggest is to open a folder browser of the trimbe project insede the app, choose the model or models and bring them to the AR or to the cloud viewer.
Further improvents would be API to push trimble tasks from the app.
These cookies are necessary for the website to function and cannot be switched off in our systems.
They are usually only set in response to actions made by you which amount to a request for services, such as setting your privacy preferences,
logging in, or filling in forms. These cookies do not store any personally identifiable information.
These cookies allow us to count visits and traffic sources so we can measure and improve the performance of our site.
They help us to know which pages are the most and least popular and see how visitors move around the site.
All information these cookies collect is aggregated and therefore anonymous.
If you do not allow these cookies we will not know when you have visited our site, and will not be able to monitor its performance.
These cookies may be set through our site by our advertising partner (Google).
They may be used by Google to build a profile of your interests and show you relevant adverts on other sites.
They do not directly store personal information but are based on uniquely identifying your browser and internet device.
If you do not allow these cookies, you will experience less targeted advertising.