Underwater Drone for Surveillance and Environmental Monitoring

Abstract

The Underwater Drone for Surveillance and EnvironmentalMonitoring packs a lot of tech into a surprisingly affordable package. It’s built to watch over ponds and lakes,lettinguserskeeptabsonwhat’shappeningbelowthesurfaceallinrealtime, andwithoutanyone needingtowadeinorgettheirfeetwet.ThecoreisanArduino Mega2560microcontroller.That,alongwithpropulsionunits,awaterproofcamera, and a handful of environmental sensors, powers solid underwater surveillance. While cruising under the water, this drone streams live video and checks on the environment things like temperature and pressure. Monitoring these details is key for measuring water quality and figuring out what’s going on in the ecosystem. To connect everything, the design uses a wired communication system, so all the data andcontrolsmovesmoothlybetweenthedroneandthepeoplerunningit.Thewhole goal is to be tough, reliable, affordable, and simple to use. It’s a strong fit for environmentalmonitoring,research,andkeepinganeyeonfreshwaterspots.Down the road, there’s plenty of room to level up this project things like adding wireless communication or artificial intelligence for autopilot could really push it further.

Introduction

This project proposes a low-cost underwater drone for surveillance and environmental monitoring of freshwater bodies such as lakes and ponds. Traditional monitoring methods, including manual sampling and diver-based inspections, are time-consuming, expensive, risky, and unable to provide continuous real-time data. Existing underwater robots are primarily designed for deep-sea applications and are often too costly and complex for small-scale freshwater environments.

The proposed system aims to provide an affordable, compact, and efficient solution capable of real-time underwater monitoring. The drone is designed to navigate underwater, capture live video using a waterproof camera, measure environmental parameters such as temperature and pressure, and transmit data to a surface monitoring station through a reliable wired communication link.

The system is built around an Arduino Mega 2560 microcontroller, which controls BLDC motors and waterproof thrusters for movement. Additional modules include a DS18B20 temperature sensor, OV2710 camera, TFT display, LED lighting, relay module, and a 3D-printed PETG hull coated with epoxy for waterproofing. Communication between the drone and the operator is established through a CAT6 RJ45 tether cable, enabling stable control and real-time data transmission.

The operational workflow includes system initialization, underwater navigation, environmental data acquisition, live video monitoring, data display, auxiliary device control, buoyancy management, and continuous transmission of sensor readings and video to the surface. The modular design improves maintainability and allows easy integration of additional sensors in the future.

The literature review highlights recent developments in underwater robotics, IoT-based water quality monitoring, embedded sensor systems, and camera-enabled robotic surveillance. These studies demonstrate that combining sensing, imaging, automation, and communication technologies significantly improves the efficiency, safety, and accuracy of aquatic environmental monitoring.

Conclusion

The underwater drone system presents an innovative and efficient solution for underwater surveillance and environmental monitoring by integrating embedded control systems, propulsion mechanisms, sensing technologies, and real-time monitoring modules, making it a reliable and cost-effective alternative to conventionalunderwaterinspectionmethods.Theprojectsuccessfullydemonstrates the combination of BLDC motors, thrusters, sensors, camera module, and communication interface ensures stable operation in aquatic environments while reducinghumaneffortand minimizingrisksthroughremoteoperationinhazardous andhard-to-accesslocations.Thesystemenablessmoothandcontrolledunderwater movement, continuous live video streaming, and accurate environmental data collectionusingsensorssuchastheDS18B20temperaturesensor,whilemaintaining stable and uninterrupted communication through a tether-based CAT6 system. Its compact, lightweight, and modular design supports easy maintenance, repair, and future upgrades. The developed prototype shows strong potential for further enhancement with advanced technologies such as artificial intelligence, improved communication systems, and high-resolution imaging techniques, enabling its application in marine research, underwater inspection, disaster response, and environmental monitoring. Despite certain limitations related to communication range, power constraints, and environmental conditions, the system demonstrates significant potential for practical implementation with opportunities for future improvements in efficiency, durability, and overall performance.

References

[1] Kumar, A., & Sharma, R. (2020). Underwater Robotics and Environmental Monitoring Systems. InternationalJournal ofMarine Technology, 12(3), 45–56.This paper discusses the use of robotic systems and sensors for underwater monitoring, aligning with the objectives of the proposed system. [2] Reddy, S. N., & Sharma, V. (2025). Real-Time Video Transmission in TetheredUnderwaterRobots.IEEECommunicationsLetters.Thispaperdiscussescommunicationsystemsfortransmittingreal-timevideo data in underwater environments, similar to the camera module used in the project. [3] Hernandez, L., & Patel, A. (2019). Energy-Efficient Propulsion Systems for UnderwaterRobots.RenewableMarineSystems,25(1),12–19.Thissourceprovidesinsightsintoefficientmotorandpropulsiontechnologies used in underwater drones. [4] Martin,F.,&Singh,P.(2021).SensorIntegrationinUnderwaterMonitoring Systems: A Review. Environmental Technology Review, 32(4), 100–110. This review paper discusses various sensor technologies used for environmental monitoring. [5] RealVNC. (2021). Remote Monitoring and Control Systems. Retrieved from https://www.realvnc.comReferenceforremotemonitoringconceptsusedinembeddedsystems. [6] Chen, L., Zhang, Y., & Liu, H. (2025). Autonomous Navigation of Underwater Vehicles Using Sensor Fusion and AI. IEEE Transactions on Robotics.This paper highlights the use of artificial intelligence and sensor fusion techniques for improving navigation accuracy in underwater environments. [7] Khatri, V., & Mishra, D. (2022). Motor Control Techniques in Robotic Systems.RoboticsandAutomationJournal,16(5),212–220.Discusses motor control methods applicable to robotic and drone systems. [8] National Oceanic and Atmospheric Administration (NOAA). (2021). UnderwaterRoboticsandOceanExploration. Provides insights into real-world applications of underwater drones and robotic systems. [9] R.K.Singh,P.Verma,andA.Kulkarni(2025).DesignandDevelopmentof a Low-Cost Underwater ROV for Real-Time Monitoring.

Copyright

Copyright © 2026 Jebastine J, Sreenidhi M, Monika J, Sebastiya U. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.