Term 232
Miniature Autonomous Submarine
Project Type: Innovation Challenge
Project Description
Welding services companies struggle with inspecting underwater pipelines for welding quality. Our solution is a Miniature Autonomous Submarine that utilizes machine learning and a decision support system to revolutionize underwater inspections. This advanced submarine navigates accurately, capturing detailed images and data, making inspections faster and more efficient compared to traditional methods.
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Project Team
Fadhel Abbas Altaweel
Applied Electrical Engineering
Abdulhadi Noor Alhussain
Industrial & Systems Engg.
Ahmed Musallam Alhamad
Applied Electrical Engineering
Mohammed Saeed Alghadeer
Petrochemical Engineering
Mohammad Ali Albrahim
Computer Science
Mohammed Ahmed Al Jubara
Industrial & Systems Engg.Team Coach
Dr. Ismail Almaraj
Assistant ProfessorDepartment of Industrial and Systems Engineering
Interdisciplinary Research Center for Smart Mobility and Logistics