Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/283
Title: DEVELOPMENT OF A SMART, WASTE MANAGEMENT SYSTEM FOR MOUNTAIN TOP UNIVERSITY
Authors: EZEBUIKE, CHIDIEBERE SAMUEL
Keywords: GIS - Geographic Information System
GPRS – General Packet Radio Service
IoT – Internet of things
GPS – Global Positioning System
GSM – Global System for Mobile Comm
Issue Date: 2021
Publisher: Mountain Top University
Citation: EZEBUIKE CHIDIEBERE SAMUEL (2021). DEVELOPMENT OF A SMART, WASTE MANAGEMENT SYSTEM FOR MOUNTAIN TOP UNIVERSITY
Abstract: In recent years, there has been a constant need to automate simple everyday operations and activities for improvement, efficiency, and advancement. One of the activities is waste management which is a very crucial everyday operation to avoid pollution and ensure efficient means of disposal. This study aims to develop a smart waste management system to identify and prepare user, system software, and hardware requirements, identify the waste management system protocols and procedures, system design specification, testing, and implementation of the software.This project covers all fields related to waste management, automation, software, and hardware development as well as wired and wireless sensor networks. This project provides solutions and automation to the traditional waste disposal methods as well as detection sensors. The main purpose is to develop a smart waste bin system that accepts data generated from it and transmits information using Wi-Fi and sensor devices through email. And also, to detect if the bin is full notify the necessary recipients and also detects the type of waste material in the bin. This project involves the use of Arduino Integrated development environment as well as hardware. All these operations are displayed on a web interface for user interaction which can be integrated on a mobile phone.Limitations include storage space capacity, user training on software use, shortrange detection signal, and also cost of resources and time constraints. Future recommendations include mobile and web-based applications as well as an increase of storage capacity and more task automation to improve efficiency.
URI: http://localhost:8080/xmlui/handle/123456789/283
Appears in Collections:Computer Science

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