While the leading edge 3D laser scanners provide accurate depiction of product geometries and allow for potentially more efficient detection of production faults, currently they are not used for quality monitoring due to lack of such frameworks. In this project I worked on a variety of statistical methods and algorithms that analyze the cloud data points generated from 3D scanners and detect production system failures.
Statistical quality control of point cloud data – slides
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