AUTOMATED DOMESTIC WASTE SEGREGATOR

Abstract

Environmental pollution is a very serious cause the world facing today. “Automated Waste Segregator” is a real time waste segregation system which will define the type of waste and segregate waste. Camera is being used as sensor to detect the image of the waste and then machine learning is applied on the data acquired from the sensor, the detection and prediction of the waste is done through convolutional neural network (CNN) in this project. This algorithm (CNN) defines the type of waste weather the thrown waste is a plastic, metal, paper, or trash. Then logically controlling servo motors to segregate the waste in final step. Automated Waste Segregator is a smart, cost effective and based on real time solution. AWS can play major role in recycling the waste and keeping this environment clean.