An application of image processing for automated mixed household waste sorting system

Abstract

The purpose of this project is to study the application of image processing in developing an efficient automated mechanical sorting system for mixed household waste. Usually paper and plastics are left uncollected from domestic waste due to lack of efficient and economical waste sorting mechanism. This project is designed to segregate plastic and paper waste which would be the pioneer step for recycling. An intelligent system is developed using computer vision to recognize parts with features on the sorting production line (conveyor belt). Different paper and plastic objects with various shapes and sizes are used for the experimentation process. The proposed algorithm was experimental verified using a fabricated prototype paper and plastic system. Experimental results validate the proposed algorithm.