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AI-Powered Drones: Revolutionizing Ship Inspection and Maintenance

By January 12, 2024January 16th, 2024No Comments

With the rise in tension between major powers and the persistence of regional conflicts, readiness is more important than ever. The use of AI-powered drones in ship inspection is paving the way for a revolutionary approach to combating corrosion and optimizing maintenance operations in naval fleets. These autonomous drones, equipped with advanced AI technology, provide real-time visual data that simplifies the detection and assessment of corrosion, enabling commanders and naval engineering teams to determine the optimal timing and level of maintenance required. By replacing traditional inspection methods such as manual observation with precise visual data, these drones eliminate delays and misinterpretations — reducing maintenance backlogs and getting ships back to sea faster. In a peer/adversary environment, they provide rapid expeditionary battle damage assessments that are crucial to commanders’ decision-making. 

Additionally, the use of AI facilitates obstacle avoidance and streamlines flight operations, making it easier for personnel to be trained and execute complex missions with ease. The integration of AI-powered drones in naval maintenance promises to revolutionize the landscape of ship inspection and transform the way naval fleets conduct predictive maintenance. Join our panel of experts as they discuss the potential impact of AI-powered drones in naval maintenance and how it will transform ship inspection and maintenance operations.  Key takeaways from this discussion will include: Highlighting the significant benefits of using AI-powered drones over traditional inspection methods Significant ROI. If autonomous drones were utilized to support more timely and accurate maintenance decisions, NAVSEA assesses a cost savings of a minimum of $10.3M annually at Naval Shipyards Improved fleet readiness Embracing new technologies and methods to improve the safety and effectiveness of naval operations