Visual Inspection System and Psychometric Evaluation with Correlation for Multiple Perceptions

In this chapter, authors propose a new method for improving detection probabilities of the defect inspection in quality control on the FRP product surface. The proposed method has improved the detection probabilities by using the joint probabilities of dual attributes with correlation for multiple perceptions. In order to obtain the improving detection probability, three kinds of attributes: size, aspect ratio, and color density are prepared in experiments. The experiments were performed by the paired comparison under constant stimuli. The result of our experiment qualitatively shows that the improving ratio of detection probabilities for dual attributes:P12, P23, P31 respectively rise approximately 21%, 26% and 24% for the mean in the case of dual attributes experiments. In addition, detection probabilities to be obtained by the method for multiple perceptions such as using dual attributes experiment were improved approximately 28% in comparison with the detection probability of past single attribute. These results showed this method was effective in raising detection probability for multiple perceptions.