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Posted: September 28th, 2022
The role of artificial intelligence in enhancing maritime safety and preventing accidents at sea
Artificial intelligence (AI) is the simulation of human intelligence in machines that can learn, reason, and understand from data. AI has the potential to transform the maritime industry by making it safer, more efficient, and more profitable. In this blog post, we will explore some of the applications and benefits of AI for maritime safety and accident prevention.
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AI for navigation and collision avoidance
One of the most critical aspects of maritime safety is navigation and collision avoidance. Human errors, such as fatigue, distraction, or poor judgment, can lead to serious accidents at sea that can cause loss of life, environmental damage, or financial losses. AI can help reduce these risks by providing automated navigation systems that can analyze data from sensors, radars, cameras, and satellite communications to optimize routes, detect obstacles, and avoid collisions. AI can also assist human operators by providing alerts, recommendations, or warnings in case of potential hazards or emergencies.
For example, Rolls-Royce has developed an Intelligent Awareness System that uses AI to create a 3D map of the ship's surroundings and provide situational awareness to the crew. The system can also predict the movements of other vessels and objects in the vicinity and suggest actions to avoid collisions . Another example is Wärtsilä's SmartMove Suite, which uses AI to enable autonomous navigation and docking for ships. The system can perform complex maneuvers without human intervention, such as entering or leaving a port, navigating in narrow or congested waterways, or avoiding dynamic obstacles .
AI for cargo handling and maintenance
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Another area where AI can improve maritime safety is cargo handling and maintenance. Cargo handling involves loading, unloading, and securing cargo on ships, which can be a dangerous and labor-intensive task. AI can automate some of these processes by using robots, drones, or smart containers that can handle cargo more efficiently and safely. AI can also monitor the condition and location of cargo and alert the crew or the port authorities in case of any anomalies or damages.
Maintenance is essential for ensuring the reliability and performance of ships and their equipment. However, traditional maintenance methods are often reactive, costly, and time-consuming. AI can enable predictive maintenance by using sensors, IoT devices, and machine learning algorithms to collect and analyze data from various components of the ship. AI can then identify patterns, trends, or anomalies that indicate the need for maintenance or repair before a failure occurs. This can reduce downtime, save costs, and prevent accidents.
For example, Kaiko Systems has developed an AI platform that uses data from inspection reports and operating metrics to provide insights and recommendations for maritime safety and technical management. The platform can identify potential issues, prioritize tasks, optimize workflows, and generate reports . Another example is SeerBI's AI solution that uses data from various sources to provide real-time visibility and analytics for maritime operations. The solution can help optimize cargo handling, improve equipment utilization, reduce fuel consumption, and enhance safety .
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AI for security and surveillance
A third area where AI can enhance maritime safety is security and surveillance. Security and surveillance involve protecting ships, ports, and coastal areas from threats such as piracy, terrorism, smuggling, or illegal fishing. AI can augment human capabilities by providing advanced tools for detection, identification, tracking, and response. AI can also enable remote or autonomous operations that can reduce human exposure to dangerous situations.
For example, Thales has developed an AI-based system that uses data from radars, cameras, sonars, and other sensors to provide a comprehensive picture of the maritime domain. The system can detect and classify objects of interest, such as vessels or aircrafts, and alert the operators in case of any suspicious or abnormal activities . Another example is Ocean Infinity's Armada fleet of unmanned surface vessels (USVs) that use AI to perform various tasks such as hydrographic surveys, inspections, or security missions. The USVs can operate autonomously or remotely from shore-based stations without any onboard crew .
Conclusion
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AI is a powerful technology that can revolutionize the maritime industry by making it safer,
more efficient,
and more profitable.
AI can help prevent accidents at sea by providing automated navigation systems,
cargo handling robots,
predictive maintenance tools,
and security systems.
AI can also assist human operators by providing situational awareness,
alerts,
recommendations,
and warnings.
However,
AI also poses some challenges
and risks
such as ethical,
legal,
or social implications
that need to be addressed
by stakeholders
such as regulators,
shipowners,
crews,
or customers.
Therefore,
it is important
to adopt
a balanced
and responsible
approach
to using AI
in maritime
safety
and accident prevention.
Works Cited
: "Intelligent Awareness System." Rolls-Royce, https://www.rolls-royce.com/products-and-services/marine/product-finder/automation-and-control/intelligent-awareness-system.aspx. Accessed 28 Nov. 2023.
: "Wärtsilä SmartMove Suite." Wärtsilä, https://www.wartsila.com/marine/build/smart-marine-vision/wartsila-smartmove-suite. Accessed 28 Nov. 2023.
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: "Kaiko Systems." Kaiko Systems, https://www.kaikosystems.com/. Accessed 28 Nov. 2023.
: "AI in Maritime." SeerBI, https://seerbi.uk/ai-in-maritime. Accessed 28 Nov. 2023.
: "Thales unveils its new AI-based system to protect ships and ports from cyber threats." write my phd thesis Thales, https://www.thalesgroup.com/en/worldwide/press-release/thales-unveils-its-new-ai-based-system-protect-ships-and-ports-cyber-threats. Accessed 28 Nov. 2023.
: "Armada." Ocean Infinity, https://oceaninfinity.com/armada/. Accessed 28 Nov. 2023.
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