Title: An improvement in IoT-based smart trash management system using Raspberry Pi
Authors: Muhammad Shakir; Shahid Karim; Shahzor Memon; Sadiq Ur Rehman; Halar Mustafa
Addresses: Department of Computer Systems Engineering, Hamdard University, Karachi, Pakistan ' Faculty of Science and Technology, ILMA University, Karachi, Pakistan ' Department of Electrical Engineering, Hamdard University, Karachi, Pakistan ' Department of Electrical Engineering, Hamdard University, Karachi, Pakistan ' Department of Electrical Engineering, Hamdard University, Karachi, Pakistan
Abstract: Our primary aim is to establish an environmentally sustainable and pollution-free community. The responsible states and their citizens carry out all the attempts to make the city neat and clean. In this paper, smart dustbin garbage collection work has been proposed and completed. To avoid all garbage issues, we have developed a project based on a monitoring system with the help of IoT technology. The proposed work is bidirectional; firstly, it connects with hardware, and secondly, it is supported with mobile by developing an Android-based application. Firebase fire store is used to provide communication between both applications. We have improved the smart trash management system using Raspberry Pi, which is pertinent to developed cities worldwide. This project tracks the dustbins and informs the admin of the amount of garbage collected in the garbage bins via a smartphone application. The proposed approach lowers the total number of waste collection truck trips, thereby lowering the total waste collection budget. It ultimately contributes to society's cleanliness.
Keywords: internet of things; IoT; Raspberry Pi; ultrasonic sensor; garbage monitoring; Android.
DOI: 10.1504/IJCVR.2024.136997
International Journal of Computational Vision and Robotics, 2024 Vol.14 No.2, pp.191 - 201
Received: 11 Jun 2022
Accepted: 25 Jul 2022
Published online: 01 Mar 2024 *