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
