Abstract:
Design to build variations are common in the construction field which can result in demolition or reworks and a waste of resources. It is important to detect these variations during their early stages to minimize the consequences. Total stations, leveling equipment and measuring tapes are the conventional tools used in detecting these variations which require huge manual work and time. Usual construction activities do not offer enough time for these sorts of checks which result in a search for methods that can be automated, and which can be operated with minimum human interventions. Point cloudbased analysis is one of such methods which can be efficiently used for such purposes. The data collection and analysis can be fully or partially automated and the time required for the entire activity will be a fraction of the time spent in conventional methods. Several commercial and open-source software offers a platform to work with point clouds, but it is hard to modify the functionalities of that software as per our needs. This research focuses on using MATLAB to process synthetic point cloud data with a user-friendly GUI to achieve the research aim.
