Development of IoT-based of waste management system for smart city Using Arduino

R.Nagarajah, Sanjushree (2025) Development of IoT-based of waste management system for smart city Using Arduino. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

Text (Full Text) Development of IoT-based of waste management system for smart city Using Arduino.pdf - Submitted Version Download (4MB)

Abstract

Environmental waste are the main dilemmas in our daily life and in the world at large [1]. Traditional waste management systems often lack real-time monitoring capabilities, leading to inefficiencies in collection routes, increased operational costs, and negative environmental impacts. Globally, the rates of waste production are rising. By 2026, 2.5 billion tons of trash is anticipated to have been produced due to the rapidly increasing population [2]. Managing waste efficiently in smart cities is crucial for maintaining cleanliness and environmental sustainability. This project introduces a smart solution to manage waste better in cities. This project proposes an IoT-enabled solution to address the challenges of waste management in urban areas. By utilizing sensor technology, real-time data monitoring for on time waste collection plan and routes planning with tracking system optimizes waste collection processes and enhances resource utilization. This system includes ultrasonic sensor to measure the fill levels of the bin, temperature, and humidity sensor to monitor and prevent decomposition of the trash, GPS to coordinate collection routes, weight sensor to detect the weight of the bin whether it has reached full limit weight or not and online platform for real-time fill level monitoring. The system can accurately measure the fill levels of waste bin using ultra sonic sensors and transmit data to online platform via WIFI. User-friendly interfaces allow the authorities to monitor waste levels and coordinate collections effectively. The system is expected to give some great results from this project, like better efficiency, cost savings, and less harm to the environment. Based on our previous work, the system can estimate around 80-85% accurately in measuring fill levels and coordinate collection routes. The goal is to create a practical and offer a user-friendly and understandable waste management solution for smart cities, benefiting all users involved making the urban environment cleaner and smarter.

Actions (login required)

View Item