Automatic, Task-Sensitive and Simulation-Based Optimization of Fringe Projection Measurements

Abstract

Fringe projection systems gain in importance in manufacturing quality control due to their multiple advantages. However, determination of an optimal inspection setup – including sighting- and positioning-strategy and configuration of the sensor – is a challenging task. There is no standardized, methodical approach established yet. Thus the success of an inspection depends on the skills and diligence of the inspection planner. This paper shows an approach for the reduction of these shortfalls. Therefore a software-tool was developed, which provides a simulation-based, task-sensitive and automatic optimization of inspection setups. Fundament for the simulation of the measurement is a continuous model. Thus the measurement result and the quality of a chosen inspection setup can be simulated. Based on this, algorithms for the multi-criteria-optimization of inspection setups were implemented.