Advanced AI-Based System for Precision Oil Spill Detection in Marine Environments

Abstract

Oil spills threaten marine ecosystems, demanding precise detection methods. This paper introduces an AI-based system for accurate and timely oil spill detection in marine environments. The system integrates satellite imaging, unmanned aerial vehicles (UAVs), marine sensors, and IoT devices. It employs multispectral and hyperspectral imaging, synthetic aperture radar (SAR), and high-resolution cameras to detect oil spills. Machine learning algorithms enhance accuracy by distinguishing oil slicks from natural phenomena. Autonomous UAVs and sensor-equipped buoys provide real-time data transmission and analysis, enabling swift response efforts. This comprehensive system offers a reliable solution for monitoring and mitigating the impact of oil spills on marine ecosystems.