Thema Evaluierung der Laserspot-Qualität von Detektions- und Nivellierungsgeräten
sowie Entfernungsmessgeräten
Thema (englisch) Laserspot Quality Evaluation of Detection-, Levelling- and Rangefinding Tools
Zusammenfassung This master thesis improves an existing method to test the visual quality
of laser spots in an automated manufacturing environment. An HDR imaging
technique is implemented to measure laser spots by means of a camera system.
The accuracy of the measuring system is evaluated. A modelling is realized
based on an orthonormal basis transformation that allows description of
visual laser spot defects and imperfections introduced by the laser module.
To evaluate the obtained model, a machine learning method is applied. This
approach successfully can classify laser spots of good and of bad visual
quality.
Schlüsselworte Visual Laser Spot Quality Evaluation ,
High Dynamic Range imaging ,
Orthonormal Basis Transformation ,
Machine Learning