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International Journal of Computational Science and Engineering Research
Volume 2, Issue 4 (October-December)
Article type: Original Article
Published: 23 September 2026 |Pages: 12 - 19 |ISSN: 3107 - 8605
https://doi.org/10.63328/IJCSER-V2RI4P3
Copyright © 2025 M. Revathy et al.
International Journal of Computational Science and Engineering Research
Open Access publication.

Remote Controlled Floating Waste Cleanup System

M. RevathyiD1, M. Yaswanth Maruthi PritamiD2, B ThasneemiD3, M. NeelimaiD4, and S. FatheemaiD5

Abstract

This paper introduces an innovative solution to water pollution through the development of a remote-controlled floating waste cleanup system. Designed to autonomously collect floating waste from water bodies, the system minimizes human intervention while ensuring safe and efficient operations. It incorporates a belt-driven waste collection mechanism that continuously gathers debris into a designated collector bin, powered by a battery charged via a solar panel to promote sustainable energy use. The cleanup vessel is equipped with an ESP32-CAM module that enables live video streaming for real-time remote monitoring, allowing operators to oversee the cleaning process effectively. An integrated ultrasonic sensor measures the fill level of the collector bin, providing essential feedback to ensure timely waste disposal. Additionally, a web-based dashboard offers wireless control, enabling operators to manoeuvre the vessel in multiple directions—forward, reverse, left, and right, while managing the activation of the conveyor belt. Overall, this system not only improves the efficiency of water surface cleaning but also reduces the risks and labor associated with manual cleanup operations. It demonstrates a scalable, environmentally friendly solution for maintaining cleaner aquatic environments through the integration of automated control, renewable energy, and real-time monitoring technologies

Keywords: Floating Waste Cleanup, ESP32-CAM, Conveyor Belt, Water Pollution, Renewable Energy

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How to cite this article

M. Revathy , M. Yaswanth Maruthi Pritam , B Thasneem , M. Neelima , S. Fatheema , " Revolutionizing Human Resources through Artificial Intelligence and Automation " , International Journal of Computational Sciences and Engineering Research (IJCSER) , Volume 2, Issue 4 , pp 12 - 19 , November 2025. CrossRef DOI: https://doi.org/10.63328/ijcser-v2ri4p3