Automatic Identification System-based Oil Spill Detection

An Automatic Identification System (AIS)-based framework is proposed that leverages data science and rule-based anomaly detection for early identification of marine oil spills. The system continuously monitors vessel movements, detects irregularities such as sudden speed changes, course deviations, or prolonged stationary periods indicative of illegal or accidental discharges, and issues real-time alerts to authorities. Experi- mental results demonstrate over 90% detection accuracy with a 6% false alarm rate. Future improvements include integration of satellite imagery and IoT sensors to enhance comprehensive marine pollution monitoring.