Design and Implementation of a Smart Bin using IOT for an Efficient Waste Management System

Abstract

Waste management is a challenging task in this modern era and different approaches are still being discovered to make the separation of waste more efficient using the state-of-the-art technologies like Internet of Things (IoT), Edge-cloud integration, machine learning etc. In this work, we have designed and implemented an IoT-based smart bin that will use a machine learning algorithm to separate different types of wastes and send the data to the cloud server. It will sort organic and inorganic waste materials in an efficient manner using three different collection boxes built in. The wastes will be scanned through several sensors and image classification was used to separate the wastes in the designated collection boxes using the sensors. The sensor will also detect the level of the waste collected in the boxes and inform the personnel of the waste collection. The sensor will send a signal when it detects 70-80% filled boxes, which will give them enough time to get to the collection point. Each bin will have its own GPS tracking system to locate its location and also to avoid the hassle of being stolen. Although this smart bin will be battery powered, to make it eco-friendlier and economical, solar power will be used to recharge the battery. A working prototype has been developed as a proof-of-concept and preliminary results prove the efficiency of the proposed smart bin.