Some Problems in Trying to Implement Uncertainty Techniques in Automated Inspection

This paper discusses the difficulties in applying uncertainty management techniques to real world problems. Automated Inspection is a process where the data used to model the environment is uncertain. There is an existing body of knowledge within the research community which enables such uncertain information to be expressed. Although there have been successful applications in fields such as medical diagnosis, there are also problems in industry which currently cannot be solved. The process of industrial inspection is an environment where the method for applying uncertainty management techniques is not intuitive. The nature of the uncertainty and the difficulty in applying the theoretical techniques to real world problems shall be the focus of the following discussion.