
AUTOMATIC DRY / WET SEGREGATOR DUSTBIN | IJET β Volume 12 Issue 1 | IJET-V12I1P40

Table of Contents
ToggleInternational Journal of Engineering and Techniques (IJET)
Open Access β’ Peer Reviewed β’ High Citation & Impact Factor β’ ISSN: 2395-1303
Volume 12, Issue 1 | Published: February 2026
Author:Sarah Shaikh, Subiya Sayyed, Pradnya Kaurav
DOI: https://zenodo.org/records/18683726 β’ PDF: Download
Abstract
This paper presents a solution to improper waste management through an automated Dry and Wet Waste Segregation System. Manual waste segregation is often neglected, leading to environmental pollution and difficulty in recycling. The proposed system uses Arduino UNO, Ultrasonic Sensor, Raindrop Sensor, and Servo Motor to automatically separate wet and dry waste. The ultrasonic sensor detects the presence of waste, while the raindrop sensor identifies moisture content. Based on the sensor readings, the Arduino processes the data and controls the servo motor to direct the waste into the appropriate bin. This system reduces human effort, improves hygiene, and promotes smart waste management practices. It can further be integrated with IoT technologies for remote monitoring and data analysis.
Keywords
Waste Segregation, Arduino UNO, Ultrasonic Sensor, Raindrop Sensor, Servo Motor, Smart Waste Management.
Conclusion
The Smart Dry and Wet Waste Segregation System provides an effective solution for automatic waste classification. By using Arduino UNO and sensors, the system reduces manual effort and promotes proper waste disposal practices. This project contributes toward cleaner environments and supports sustainable waste management. Future improvements can include IoT integration and advanced waste classification methods.
References
β’ General Smart Waste Frameworks: Kumar and Sharmaβs work on βSmart Waste Segregation System Using Arduinoβ (2021) is frequently cited for demonstrating automated waste classification using moisture sensors and microcontrollers. β’ Real-Time Waste Monitoring: Singh and Verma (2020) detail βIoT-Based Smart Garbage Monitoring Systemβ, emphasizing real-time monitoring, sensor-based detection, and improved waste management efficiency. β’ Smart City Applications: Gupta et al. (2019) introduced a βSmart Waste Management System for Urban Areasβ, focusing on automated segregation and optimized municipal waste handling for smart cities. β’ Microcontroller-Based Automation: Rao and Patel (2022) proposed βAutomatic Waste Segregator Using Arduino and Moisture Sensorβ, highlighting low-cost hardware implementation for household waste sorting. β’Books&Articles:βPractical Electronics for Inventorsβ by Paul Scherz (explains sensor circuits and hardware fundamentals).
βGetting Started with Arduinoβ by Massimo Banzi (covers Arduino programming and hardware integration).
Cite this article
APA
Sarah Shaikh, Subiya Sayyed, Pradnya Kaurav (February 2026). AUTOMATIC DRY / WET SEGREGATOR DUSTBIN. International Journal of Engineering and Techniques (IJET), 12(1). https://zenodo.org/records/18683726
Sarah Shaikh, Subiya Sayyed, Pradnya Kaurav, βAUTOMATIC DRY / WET SEGREGATOR DUSTBIN,β International Journal of Engineering and Techniques (IJET), vol. 12, no. 1, February 2026, doi: https://zenodo.org/records/18683726.
