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Advanced AI-Based System for Precision Oil Spill Detection in Marine Environments
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Author(s): S. D. Lalitha (R.M.K. Engineering College, India), S. Senthilkumar (Kalasalingam Academy of Research and Education, India), B. Praveen Kumar (GITAM School of Technology, GITAM University, India), Umamageswaran Jambulingam (Amrita School of Computing, Amrita Vishwa Vidyapeetham, India), T. P. Anish (R.M.K. College of Engineering and Technology, India)and A. V. Kalpana (SRM Institute of Science and Technology, India)
Copyright: 2024
Pages: 30
Source title:
Maintaining a Sustainable World in the Nexus of Environmental Science and AI
Source Author(s)/Editor(s): Bhupinder Singh (Sharda University, India), Christian Kaunert (University of South Wales, UK & Dublin City University, Ireland), Komal Vig (Sharda University, India)and Soumi Dutta (Sister Nivedita University, India)
DOI: 10.4018/979-8-3693-6336-2.ch006
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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.
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