Design and implementation of intelligent dustbin with garbage gas detection for hygienic environment based on IoT

Ahmed, Marzia and Shaha, Rony and Sarker, Kaushik and Mahi, Rifat Bin and Kashem, Mohammod Abul (2022) Design and implementation of intelligent dustbin with garbage gas detection for hygienic environment based on IoT. In: 2022 International Conference on Advancement in Electrical and Electronic Engineering, ICAEEE 20222 , 24 - 26 February 2022 , Dhaka University of Engineering & Technology (DUET), Bangladesh. pp. 1-7. (181480). ISBN 978-166546944-9

Preview	Pdf Design and implementation of intelligent dustbin with garbage .pdf Download (164kB) | Preview
	Pdf Design and Implementation of Intelligent Dustbin_FULL.pdf Restricted to Repository staff only Download (1MB) | Request a copy

Abstract

Rapid population expansion necessitated increased resource use in everyday living. As a result, the pace of trash gen-eration has increased dramatically, affecting the environment's hygiene system and other health concerns. Waste overflows in public spaces, and improved management is necessary. The purpose of this study is to develop a model of an intelligent trashcan for usage in smart cities. Additionally, to identify dangerous gases emitted by dustbins for subsequent management operations, as well as to monitor the amount of trash in the waste bin and warn the municipality through SMS. This system includes two ultrasonic sonar sensors for measuring trash level, a GSM module for sending SMS, three gas sensors for detecting harmful garbage gas, an infrared sensor for counting garbage droplets, and an Arduino Uno for managing all activities. The system notifies you whether the bin is full or empty and can also be controlled by voice command. Additionally, released gas may be monitored to determine the severity of the impairment and to notify the appropriate authorities. Most significantly, it will identify a failed trash drop in the bin and alert the user through alarm for truly considering the reduction of spilled garbage surrounding bins while using the system.

Item Type:	Conference or Workshop Item (Lecture)
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	Arduino-UNO; Blynk; Gas Sensor; GSM Module; Ultrasonic Sonar Sensor
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division:	Institute of Postgraduate Studies Faculty of Electrical and Electronic Engineering Technology
Depositing User:	Mrs Norsaini Abdul Samat
Date Deposited:	26 Jan 2023 02:31
Last Modified:	26 Jan 2023 02:31
URI:	http://umpir.ump.edu.my/id/eprint/36825
Download Statistic:	View Download Statistics

Actions (login required)

View Item