Adaptive Approach to the Estimation of Uncertainty in Industrial Quality Testing Using Image Sensors

Abstract

For drawing the right conclusions from an indicated measuring value of a quantity to the unit under test, it is indispensable to express the assigned expanded measurement uncertainty. For the industrial quality testing image sensors are widely used due to their multitude of advantages, e. g. the contactless operation mode, the high level of automation connected with the short measurement time and the flexibility in the measurement of different workpieces. This paper is derived to propose a new knowledge-based approach to the adaptive and automated uncertainty estimation for precision coordinate measurements using image sensors. It can be shown, that the novel method gives estimates of measurement uncertainty which are practicable and widely corresponding with experimental effectuated uncertainty declarations.