Design and Development of an IoT-Enabled Smart Dustbin for Automated Waste Segregation and Real-Time Monitoring

Rapid urbanisation has caused a big rise in the amount of solid waste produced, making it hard to manage waste and keep things clean. Automated segregation and real-time monitoring are not possible with traditional waste collection systems, which leads to overflow and problems with handling the waste by hand. This paper describes how to design and build a smart dustbin that works with the Internet of Things (IoT) and can separate wet and dry waste without touching it. It also keeps track of the garbage level in real time. The suggested system uses sensors to figure out what kind of trash it is and a servo motor to move it to the right compartments. An ultrasonic sensor keeps an eye on the dustbin's fill level all the time, and when it reaches a certain level, it sends out alerts. The proposed system uses sensors to figure out what kind of trash it is and a servo motor to move it to the right places. An ultrasonic sensor keeps an eye on the dustbin's fill level all the time. When the bin reaches a certain level, it sends out alerts. The system's software module is fully functional, and monitoring results from the dashboard show that alerts are being sent out and the system is responding quickly. The suggested fix cuts down on the need for people to get involved, makes it easier to sort waste at the source, and works with smart city waste management.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-21
DOI
https://doi.org/10.5281/zenodo.19675236
Primary Topic
Municipal Solid Waste Management
Type
article
Field-Weighted Citation Impact
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article

Design and Development of an IoT-Enabled Smart Dustbin for Automated Waste Segregation and Real-Time Monitoring

Waghule Pratiksha Santosh, Gholap Sandhya Sunil, Rupnar Priyanka Vishal, Khedkar Pranali Bappasaheb et al.
Zenodo (CERN European Organization for Nuclear Research)
Municipal Solid Waste Management
article

Design and Development of an IoT-Enabled Smart Dustbin for Automated Waste Segregation and Real-Time Monitoring

Waghule Pratiksha Santosh, Gholap Sandhya Sunil, Rupnar Priyanka Vishal, Khedkar Pranali Bappasaheb, Dr. N. B. Kadu
article en

Abstract

Rapid urbanisation has caused a big rise in the amount of solid waste produced, making it hard to manage waste and keep things clean. Automated segregation and real-time monitoring are not possible with traditional waste collection systems, which leads to overflow and problems with handling the waste by hand. This paper describes how to design and build a smart dustbin that works with the Internet of Things (IoT) and can separate wet and dry waste without touching it. It also keeps track of the garbage level in real time. The suggested system uses sensors to figure out what kind of trash it is and a servo motor to move it to the right compartments. An ultrasonic sensor keeps an eye on the dustbin's fill level all the time, and when it reaches a certain level, it sends out alerts. The proposed system uses sensors to figure out what kind of trash it is and a servo motor to move it to the right places. An ultrasonic sensor keeps an eye on the dustbin's fill level all the time. When the bin reaches a certain level, it sends out alerts. The system's software module is fully functional, and monitoring results from the dashboard show that alerts are being sent out and the system is responding quickly. The suggested fix cuts down on the need for people to get involved, makes it easier to sort waste at the source, and works with smart city waste management.

Zenodo (CERN European Organization for Nuclear Research)
Sustainable cities and communities
Openalex Percentile: Top 6%
Municipal Solid Waste Management
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Design and Development of an IoT-Enabled Smart Dustbin for Automated Waste Segregation and Real-Time Monitoring — Waghule Pratiksha Santosh, Gholap Sandhya Sunil, et al. · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS