Updated: Apr 13
Point Cloud (Scan to BIM) is a set of points that are put together in a 3D space. The integrity of those points is a representation of a surface or an object. That could be a facade, building, or interior of a space. Watch our BEST Showreel Point Cloud Projects.
The Point Clouds are generated by special 3D Laser Scanners. There is a big diversity of them. What the Laser Scanners do is scan the surface or space by creating thousands of laser measurements and registering the collected data as a Point Cloud.
With that technology, the scanning could be done with up to 1mm accuracy. That depends mostly on the specifics of the machines. The different scanners are having different:
Points density (amount of point they can generate);
Level of accuracy;
Why point cloud is so innovative and how helps the workflow
If we compare Point Cloud to the traditional way of measurement, where all the measurements are made by hand. It could be extremely difficult to make such precise measurements on complicated terrene or on an existing historical building. How is going to be generated all the data, all the inclined walls, all the details, all the complicated components with such a large scale of the object?! Especially if there are blueprints that are not matching exactly because of certain amendments during the years. Or there are arrangements during the construction stage which were not recorded. So, in the end, when comparing those blueprints with the manual measurements, many things will not match.
Point Cloud allows us to bridge that gap. It gives us an image as realistic as possible. After, reviewing all the accurate data it could be moved on to the next step - creating the BIM Model. This is a Digital Information Model that allows being performed - work, design, and documentation on the renovation project.
The renovation project usually has multiple phases:
And all of this could be interpreted in one single BIM Model. In conclusion, this is a time-saving way of work, that increases the level of accuracy and efficiency during the process.