Smart waste management system with IoT monitoring

Kalitazan, Sachein and Muniswaran, Suvarshan and Velan, Sheshan and Muniswaran, Suvathithan and Shah, Dhanesh (2023) Smart waste management system with IoT monitoring. International Exhibition & Symposium On Productivity, Innovation, Knowledge & Education. pp. 773-777. ISSN 9789672948568

Official URL: https://ispike.uitm.edu.my

Abstract

The Smart Waste Management System (SWMS) with IoT monitoring is a cutting-edge solution that utilizes Internet of Things technologies to optimize waste management processes. By deploying smart waste bins with sensors and IoT devices, the system continuously monitors bin fill-levels, temperature, and other parameters, transmitting real-time data to a central monitoring platform. Through advanced data analytics and machine learning algorithms, the platform predicts waste accumulation patterns, optimizes collection routes, schedules pickups based on fill-level data, and detects any abnormal conditions. This IoT-based system ensures efficient waste collection, prevents overflows, reduces operational costs, promotes sustainability through waste segregation and recycling, and contributes toa cleaner and more sustainable environment.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Kalitazan, Sachein
kolendavelu57@gmail.com
Muniswaran, Suvarshan
UNSPECIFIED
Velan, Sheshan
UNSPECIFIED
Muniswaran, Suvathithan
UNSPECIFIED
Shah, Dhanesh
UNSPECIFIED
Contributors:
Contribution
Name
Email / ID Num.
Advisor
Said, Roshima
roshima712@uitm.edu.my
Chief Editor
Yusoff, Siti Norfazlina
fazlina836@uitm.edu.my
Subjects: T Technology > T Technology (General) > Technological change > Technological innovations
T Technology > T Technology (General) > Information technology. Information systems
Divisions: Universiti Teknologi MARA, Kedah > Sg Petani Campus
Journal or Publication Title: International Exhibition & Symposium On Productivity, Innovation, Knowledge & Education
ISSN: 9789672948568
Page Range: pp. 773-777
Keywords: IoT, Waste management, IoT devices
Date: 2023
URI: https://ir.uitm.edu.my/id/eprint/128163
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128163

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