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IoT-Enabled Water Pollution Monitoring Remote Controlled Boat with a Debris Collection system in Aquatic Environments

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents an IoT-enabled remotecontrolled boat designed for water pollution monitoring and cleanup. Water pollution, a pressing global issue, poses significant threats to ecosystems and human health. This study addresses the challenge of real-time water quality monitoring and debris collection. The boat measures water quality parameters such as temperature, pH, and Total Dissolved Solids (TDS) using advanced sensors and microcontrollers, including Arduino Uno, Raspberry Pi 4B, and ESP32. Data is transmitted to a cloud platform, ThingSpeak, for real-time analysis. Initial tests confirmed reliable sensor calibration, remote control, waterproofing, and stable data transmission. Planned future improvements include machine learning for data pattern prediction, complete autonomy with object avoidance, and advanced navigation capabilities using YOLO software. The developed prototype offers a real-time, comprehensive solution for water quality assessment and debris collection system.
Original languageEnglish
Title of host publication22nd IEEE Student Conference on Research and Development (SCOReD)
PublisherIEEE
Pages716-721
Number of pages6
ISBN (Electronic)9798331510077
DOIs
Publication statusPublished - 14 Feb 2025
Event22nd IEEE Student Conference on Research and Development 2024 - Selangor, Malaysia
Duration: 19 Dec 202420 Dec 2024

Conference

Conference22nd IEEE Student Conference on Research and Development 2024
Abbreviated titleSCOReD 2024
Country/TerritoryMalaysia
CitySelangor
Period19/12/2420/12/24

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • IoT
  • remote-controlled boat
  • water pollution mitigation
  • water quality monitoring

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Safety, Risk, Reliability and Quality
  • Modelling and Simulation
  • Instrumentation

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