Fuzzy Logic Intelligent system for an Automatic medical waste segregation

Abstract

Abstract AUTOM is an acronym given to a commercially designed automatic waste disposal master tool for medical laboratories and clinical waste separation through this research study. In this research, a fuzzy rule-based system is designed which can segregate 24 different waste types which are selected from 8 more common medical waste groups. In the proposed system, after capturing each frame some pre-processing operations are done, features are extracted, fuzzy parameters, fuzzy terms and fuzzy rules are determined and finally a rule with a maximum certification degree is fired. In the designed fuzzy rule-based system 24 roles corresponding to the 24 detectable objects exist, 14 fuzzy parameters are defined, and a maximum of 3 fuzzy terms for each fuzzy parameter have been considered. The system is flexible on different light conditions, view degree of the camera, and 360° object rotation. Our experiments on a real environment and using both new and used wastes have shown up to 94% of better performance of the system developed.