Integrale Betrachtung zur systematischen Definition von 3D Bildgebungssystemen in der Produktionstechnik

Machine vison systems are suitable in many areas of production in the industrial manufacturing. As well 3D-machine-vision-systems are used as solution for diverse problems in manufacturing engineering.
The area of possible application ranges from simple tasks for quality control or manipulation and handling to complex security relevant issues.
On account of its continued development and the diversity of applicable methods in the field of machine vision, the project planning of 3D machine-vision-application is a challenging task.
The problem with the integration of 3D-vision-systems is the big variety of possibilities to solve problems in plant automation by means of machine-vision methods.
This thesis describes the development of a method for the efficient project planning and design of 3D-machine-vision-systems in the field of special machine construction.
First the influence variables effecting the vision-system are determined, which are arising from the task, the production process and the periphery of the process.
Based on these characteristics a methodical approach is defined. This approach enables developers of production facilities to define the specific measures for implementing an effective and efficient machine-vision-setup, which is well integrated in the production process.
The approach of this thesis is an analytical observation to describe the formalities of the selection of imaging sensors and how this decision is influencing the further project planning and evaluation procedure.
In the context of example application, the application of the approach is presented explicit.
Furthermore, object-oriented methods are investigated regarding their ability to gather all relevant features of a 3D-machine-vision system in the field of plant automation and special machine construction. Both aspects concerning the production and problems of machine vision are described universally. In conclusion, the potential of this approach is discussed and an evaluation of possibilities and further development is given.