A Smart Waste Management and Segregation System that Uses Internet of Things, Machine Learning and Android Application

Abstract

In this environment of accelerated development around the world, more and more waste is generated by direct or indirect means. A daily generation of waste in tons requires an effective management technique. If not done suitably, virtually unlimited amounts of open spaces will be required to dump the waste. The system proposed in this research will lend a hand to solve these waste management problems. The main constituent of this system is a waste bin which will automatically segregate the waste by employing technologies such as Internet of Things and Machine Learning. The bin is connected to the cloud to assist in systematic waste collection by tracking and uploading various data points for a particular bin. A group of these bins will help in efficient garbage collection and management starting from the origin of the waste itself. An Android application which is also a part of this system will assist the relevant authorities to manage the bins as per real time requirements. Two versions of the system are elaborated in this paper with the first version achieving an accuracy of 75% in classifying the waste as wet or dry whereas the second version achieves an accuracy of 90% when segregating the waste into six distinct categories.