In the traditional ship exterior inspection and maintenance process, inspector and engineers will have to scale the ship to check for signs of damage, corrosion, or deterioration that could compromise the structural integrity of the vessel. This may involve visual inspections, measurements, and testing of coatings. Often, this relies heavily on manual labour and are time-consuming.
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Advanced AI-Enabled Inspection
The Smart Automated Ship Inspection System (SASIS) utilises AI-enabled automated camera control and robotics system, designed to mimic human visual defects inspection of large structures. Consisting of cameras mounted on autonomous mobile robots or drones, SASIS captures high-resolution images of the ship hull in a fraction of the time it takes for traditional inspections.
Streamlined Inspection Process
Captured images are swiftly transmitted to an AI server, where sophisticated algorithms analyse and classify defect types such as corrosion, dents, and paint peel with remarkable accuracy. This streamlines the inspection process, eliminating the need for manual data collection and reducing inspection time from weeks to mere days.
Enhanced Safety and Efficiency
Moreover, SASIS is equipped with object-based localisation and dynamic safety features, enabling autonomous inspection operations even in cluttered dock environments. This eliminates the need for inspectors to work at heights or in hazardous conditions, significantly enhancing safety while maintaining rigorous inspection standards.
Hybrid AI for Optimal Performance
Employing a hybrid AI approach, SASIS ensures efficient learning and inference with minimal data, maximising performance, and adaptability across diverse inspection scenarios. This innovative technology has its roots in airframe inspection, having undergone rigorous testing with a local airline company to assess its effectiveness and reliability.
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