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Marine plastic pollution poses a significant environmental threat, endangering marine biodiversity, ecosystems, and human health. This manuscript presents the Intelligence Aqua Bot, an autonomous AI-driven system created for the real-time identification, classification, and retrieval of marine debris, including microplastics. The system integrates cutting-edge technologies such as YOLOv8 for precise waste detection, Convolutional Neural Networks (CNNs) for waste categorization, and Proximal Policy Optimization (PPO) for efficient navigation. Additionally, the Aqua Bot deploys microbots equipped with waterproof cameras and fluorescence-based optical sensors to detect and extract microplastics from complex aquatic environments. It is powered by solar panels, thus the system ensures sustainable functionality, while Zigbee-based communication enables seamless communication between the Aqua Bot and its microbots. This innovative and sustainable approach addresses the critical issue of marine plastic pollution, providing an overall solution that leverages advanced AI, robotics, and IoT technologies to safeguard and protect aquatic ecosystems.

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Intelligence Aqua Bot: An Autonomous Solution for Real-Time Marine Plastic Debris Including Microplastics Detection and Cleanup Using Deep Learning

  • 会议论文

  • 发表日期：

    2026年

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  • Sonia Maria D’Souza,
  • P. Balasubramanian,
  • M. Parivarthan Reddy,
  • Deepesh Sreedharan,
  • P. Aniketh,
  • Pachipala Nagendra Reddy

摘要

Marine plastic pollution poses a significant environmental threat, endangering marine biodiversity, ecosystems, and human health. This manuscript presents the Intelligence Aqua Bot, an autonomous AI-driven system created for the real-time identification, classification, and retrieval of marine debris, including microplastics. The system integrates cutting-edge technologies such as YOLOv8 for precise waste detection, Convolutional Neural Networks (CNNs) for waste categorization, and Proximal Policy Optimization (PPO) for efficient navigation. Additionally, the Aqua Bot deploys microbots equipped with waterproof cameras and fluorescence-based optical sensors to detect and extract microplastics from complex aquatic environments. It is powered by solar panels, thus the system ensures sustainable functionality, while Zigbee-based communication enables seamless communication between the Aqua Bot and its microbots. This innovative and sustainable approach addresses the critical issue of marine plastic pollution, providing an overall solution that leverages advanced AI, robotics, and IoT technologies to safeguard and protect aquatic ecosystems.