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International Research Journal of Engineering and Technology (IRJET)

e-ISSN: 2395-0056

Volume: 12 Issue: 04 | Apr 2025

p-ISSN: 2395-0072

www.irjet.net

Aquarover: An IoT Based Water Surface Cleaner Robot Famina TS1, Muhammed Nihal PS2, Shifas MS3, Suranya G4 123UG Student, Dept. of Electronics and Communication Engineering,

Ilahia College of Engineering and Technology, Kerala, India

4Assistant Professor, Dept. of Electronics and Communication Engineering,

Ilahia College of Engineering and Technology, Kerala, India ---------------------------------------------------------------------***---------------------------------------------------------------------

Abstract - The dumping of waste into water bodies has

machine learning algorithms to detect waste. Aquarover employs a level detection system to monitor the fill level of the waste storage tank and give alert when the bin reaches its limit to unload the bin. A user interface is also used for controlling and monitoring the movement of the robot remotely.

increased in recent times. The maintenance of water bodies must be done regularly. This paper presents an unmanned surface vehicle (USV) to collect garbage like plastic bottles and algae from the water surface. The system consists of conveyor belt and waste storage tank for waste collection. The system incorporates obstacle avoidance, live-streaming video and movement control. The USV uses camera and YOLOv8 algorithm to detect waste. An Android application is created using MIT App Inventor to operate the robot remotely. The app provides a simple interface for directional control (forward, left, right). A level detection system is also integrated to monitor the fill level of the waste storage tank and gave notification when it reaches its limit.

2. LITERATURE SURVEY In 2022, “Azman Ismail” , et.al developed an Unmanned Surface Vehicle for water wastes collection, to clean Malaysian rivers and reduce flood risks caused by waste ac cumulation. The USV is designed to operate in both remotecontrolled and autonomous modes, ensuring efficient and flexible cleaning operations. The system consists of four key subsystems: Obstacle Avoidance (SS1): Uses sensors to detect and avoid obstacles, ensuring smooth navigation. Coordinate Detection (SS2): Determines the USV’s location for precise movement and guided navigation. LiveStreaming Video (SS3): Provides real time visuals to monitor operations and assist in manual control. Movement Control (SS4): Manages propulsion and steering to collect waste effectively. The USV is integrated with Internet of Things (IoT) technology, allowing users to monitor and control it remotely via the Blynk app. The system is powered by a Raspberry Pi and programmed using Python to enable automation. By efficiently removing waste from rivers, this project helps to prevent blockages, reduce flood risks, and improve water quality, contributing to a cleaner and more sustainable environment in Malaysia [1].

Key Words: Unmanned Surface Vehicle, Obstacle Avoidance, YOLOv8 algorithm, MIT App Inventor, Waste Storage Tank, Level Detection System.

1.INTRODUCTION The amount of waste that is dumped into water bodies has on rise. Currently, the availability of clean water is limited due to the increase in dumping of waste in water bodies. The regular maintenance of water bodies is crucial. Current methods of cleaning water surfaces are mainly based on manual labor or traditional boats, which are often inefficient, expensive, and time-consuming. These methods require substantial human resources and cannot keep up with the continuous flow of waste, especially in large or remote water bodies. Furthermore, manual cleaning processes expose workers to potentially hazardous materials and polluted environments. Traditional waste collection methods, such as manual cleanup, are labor intensive, time consuming and inefficient for large areas. As a result, there is a pressing need for an automated and scalable solution that can address these challenges efficiently and sustainably. To address these challenges, an innovative and automated solution is needed that can efficiently collect and remove floating debris. “Aquarover” aims to overcome this situation by developing an unmanned surface vehicle for collecting floating plastic bottles and algae from the water. The water surface cleaner robot is designed with chain conveyor system to collect the solid wastes from the surface of water and a waste storage tank for waste collection. The unmanned surface vehicle uses camera and

Impact Factor value: 8.315

In 2022, “Joy Jacqueline Pereira”, et.al. This study assesses the economic impact of small-scale flash floods in Kuala Lumpur, Malaysia, from 2010 to 2016. Unlike largescale disasters, the cumulative effects of frequent small floods are often overlooked. The study estimates the direct and indirect damage costs of 204 flash flood events, using a heuristic approach due to limited data. The findings reveal that total damages reached RM48.7 million, representing 0.04% of Kuala Lumpur’s GDP in 2016. Indirect costs, mainly from disrupted road networks and lost productivity, were up to four times higher than direct damages, which included damage to roads, commercial, and residential areas. The paper highlights that flash flood damages are expected to rise due to rapid urbanization and climate change, emphasizing the need for risk reduction

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