Trash Net based Waste Segregation Assistive System for Smart Cities

Abstract

In addition to progressively unhealthy customer behavior, development, urbanization and eco- nomic growthhave led waste generation levels to in- crease dramatically over the last decades. This rapid development and use practiceshave bestowed waste production levels being the highest priority problem for humans and the natural environment. Since arange of industry practices are either specifically responsible for solid waste production indirectly. Sadly, only 5 percent ofthis colossal amount of waste is recycled. One poten- tially major response to this issue may be to segregate the waste at thepoint of production (homes, factories) itself. Since a range of industry practices are either specifically responsible for solidwaste production, or indirectly. In India an incredible 0.1 million tons of waste is generated every day. Unfortunately, only 5percent of this huge amount of waste is recycled. One potential response to this issuemaybetosegregatethewasteatthe point of processing itself. As well, pollution has been shown to reduce the average lifetime of manual segregation. Theadmirable goal of our project is to create a mechanized machine using machine learning models for the betterment of health,and to move towards a greener planet. We have therefore introduced an automated waste segregator, which helps to isolatethe waste at the point of disposal itself.This is planned to classify the waste using image processing into 3 major groups,includingFoodWaste,RecyclableandRejectWaste,therebyrenderingwastemanagementmoreefficient.