Research on Empty Bottle Intelligent Inspection Methods

With regard to the characteristics of empty bottle, the article focused on how to capture the images of empty bottle and extract features from the images based on machine vision. The classification-based multi-feature synthesizing expert system were put forward for high speed inspection. And this article studies the GA-SVMs(Genetic Algorithms-Support Vector Machines) to classify bottles. In GA-SVMs, the genetic algorithms were proposed to optimize the parameters of SVMs according to the accuracy rate in order to enhance the abilities of SVMs. Comparison of the advantages and disadvantages of these methods with fuzzy neural networks through experiments has shown that the speed of expert decision-making method is fast, the accuracy rate of the GA-SVM is high, at above 94%, and it has great prospects for popularity.