AQUABOTIX AI BASED WATER QUALITY ASSESSMENT ROBOT

Abstract

The degradation of underwater ecosystems due to pollution and littering presents critical challenges to environmental sustainability. This project introduces AquaBotix, an underwater robot designed for water quality assessment, trash detection, and environmental monitoring. Traditional methods for these tasks are often labor-intensive and inefficient. AquaBotix leverages state-of-the-art robotics, sensor technology, and machine learning to enhance these processes, providing real-time, accurate data collection in aquatic environments. AquaBotix is equipped with a variety of sensors, including those for pH, total dissolved solids (TDS), temperature, luminosity, and pressure, allowing for continuous monitoring of water quality parameters. Additionally, the robot features an object detection system integrated with machine learning algorithms to detect and locate underwater trash, aiding in precise cleanup operations. The robot's design ensures excellent maneuverability, enabling thorough exploration and inspection of underwater habitats, which is essential for environmental research and monitoring. This project aims to greatly improve the conservation of underwater ecosystems. It demonstrates how robotics, sensor technology, and artificial intelligence can work together to address urgent environmental problems. By combining these technologies, an interdisciplinary approach is formulated to solving the complex challenges faced by the water bodies