Comprehensive study on 3D scanner method to convert cloud data to surface modeling

Azman, Nurulain Nabilah (2022) Comprehensive study on 3D scanner method to convert cloud data to surface modeling. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

A 3D scanner is a device that collects real-life data about the form and appearance of an object or environment to the collected data can be used to generate three-dimensional computer models. Following that, a common issue discovered through this research is that 3D scanning is a promising option, but it is unclear how these new technologies compare to traditional ways. An experimental study is being conducted to investigate the conversion of data point clouds from a 3D scanner to CAD data with a variety of shapes, such as simple geometrical shapes, and complex shapes. The objective of this experiment is to compare a few different software designs to optimum method duration time for conversion cloud data. The T-Scan Lv system is utilised as a laser scanning during the 3D scanning procedure. Three trials of each model sample shape are use in this experiment method. The software is used to modify the point cloud data to surface modelling is PolyWorks and Catia. The result collected based on the scanning duration, editing cloud data duration and mean of standard deviation in percentage. From the overall result, the most accuracy software are used to editing cloud data to surface modelling is complex shape for PolyWorks software where the mean of standard deviation is 96.78% while for Catia software is square shape which is the mean of standard deviation is 96.14%. Finally, every method of modifying cloud data utilising the greatest software has been studied.

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