Some Advantages and Use cases of a Point Cloud Dataset

Some Advantages and Use cases of a Point Cloud Dataset

Detail information:
Grid based LiDAR measurements contains increased information of an element/object opposed to Surveying/Measuring by hand. Depending on the required deliverable, elements/objects can have up to 1mm apart coordinates. Typically, this degree of density can be utilized in manufacturing or reproducing a hand-made object.

Verification:
The high degree of accuracy of the registered Point Clouds can be utilized in the verification of large-scale construction against designs, reverse engineering, volume calculation and stock take. Typically, these types of datasets can be utilized for the As-Built Documentation process for further design or alterations to existing construction.

Accessibility:
Being a digital representation of an area, the data can be shared with all members of the team that is involved in the process and allows for not having to be physically present at the area for information gathering.

Clash Detection:
By implementing interval scanning throughout a construction or manufacturing project the 3D Designs can be analyzed against current activities on site by overlaying the Point Clouds onto the Designs. Discrepancies and site installations can be verified and can result in the early detection of possible installation problems having a direct result in cost and time savings.