An Integrity Estimation Using Fuzzy Logic

Abstract

The authors have been involved in developing an automated inspection system, based on machine vision, to assess the seaming quality in metal containers (cans) for fish food. In this work we present a fuzzy model building to make the pass/fail decision for each can, and predict the closing machine adjustment state after closing each can, from the information obtained by the vision system. In addition, it is interesting to note that such models could be interpreted and supplemented by process operators. In order to achieve such aims, we use a fuzzy model due to its ability to favor the interpretability for many applications. Firstly, the can seaming process, and the current, conventional method for quality control of can seaming, are described. Then, we show the modeling methodology, that includes the generation of representative input-output data sets, and the fuzzy modeling. After that, results obtained and their discussion are presented. Finally, concluding remarks are stated.