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IoT Smart Waste Bin System with Real-Time Fill-Level Analytics, Toxic Gas Monitoring, and GPS-Based Collection Optimization

Published on March 2025 by Suyash Ranshur, Nirbhay Rane, Pawan Sonawane, Smriti Sahu
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International Conference on Next Gen AI, Innovation and Engineering Excellence 2025
Department of Electronics & Telecommunication Engineering Ajeenkya D Y Patil School of Engineering, Pune
ICNIEE2025 - Number 1
March 2025
Authors: Suyash Ranshur, Nirbhay Rane, Pawan Sonawane, Smriti Sahu

Suyash Ranshur, Nirbhay Rane, Pawan Sonawane, Smriti Sahu . IoT Smart Waste Bin System with Real-Time Fill-Level Analytics, Toxic Gas Monitoring, and GPS-Based Collection Optimization. International Conference on Next Gen AI, Innovation and Engineering Excellence 2025. ICNIEE2025, 1 (March 2025), 24-29.

@article{
author = { Suyash Ranshur, Nirbhay Rane, Pawan Sonawane, Smriti Sahu },
title = { IoT Smart Waste Bin System with Real-Time Fill-Level Analytics, Toxic Gas Monitoring, and GPS-Based Collection Optimization },
journal = { International Conference on Next Gen AI, Innovation and Engineering Excellence 2025 },
issue_date = { March 2025 },
volume = { ICNIEE2025 },
number = { 1 },
month = { March },
year = { 2025 },
issn = 0975-8887,
pages = { 24-29 },
numpages = 6,
url = { /proceedings/icniee2025/number1/iot-smart-waste-bin-system-with-real-time-fill-level-analytics-toxic-gas-monitoring-and-gps-based-collection-optimization/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Next Gen AI, Innovation and Engineering Excellence 2025
%A Suyash Ranshur
%A Nirbhay Rane
%A Pawan Sonawane
%A Smriti Sahu
%T IoT Smart Waste Bin System with Real-Time Fill-Level Analytics, Toxic Gas Monitoring, and GPS-Based Collection Optimization
%J International Conference on Next Gen AI, Innovation and Engineering Excellence 2025
%@ 0975-8887
%V ICNIEE2025
%N 1
%P 24-29
%D 2025
%I International Journal of Computer Applications
Abstract

Proper waste management is pivotal to environmental sustainability and public well-being, especially in fast-developing cities. This paper introduces the design and implementation of an Automatic Waste Management System through Internet of Things (IoT) technology and Thingsspeak cloud platform to overcome common issues with conventional waste management. Our system incorporates sophisticated sensors for automating the classification of waste into dry and wet forms to ensure effective disposal. Real-time monitoring features send timely alerts when the bins are filled to capacity and sense dangerous gases released during decomposing waste, so immediate action can be taken. It is run by a solar panel, so it encourages green operations. Using a microcontroller (Raspberry Pi Pico W), GPS, and numerous sensors, our solution reduces human interactions, making operations more efficient and cost-effective. Early trials show encouraging performance in waste detection and notification procedures, setting the stage for further development and expanded use in urban waste management.

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Index Terms

Computer Science
Information Sciences

Keywords

Internet of Things (IoT) Global Positioning System (GPS) Raspberry Pi Pico W Thingsspeak platform Sensors