Intelligent fusion of sensor data for product quality assessment in a fish cutting machine

摘要: This paper presents two intelligent sensor fusion techniques, which have been implemented in an automated machine for mechanical processing of salmon, to determine the level product quality (i.e., processed fish). An fish cutting with advanced technology is employed present work. The process complex, and ill-defined, assessment methods are subjective. Two knowledge-based fuzzy based on: a) regular Mamdani dot-max composition, b) degree certainty achieve improved results. data available from disparate sensors like CCD cameras, optical encoders ultrasonic displacement fused using methods. illustrative example a good bad cut presented. results indicate that equally effective, but method (a), more sophisticated, has slight advantage performance over other, at expense added complexity.