Term 242

Miniature Autonomous Submarine

The Best Miniature Submarine Award

Project Type: Innovation Challenge

Project Description

Traditional underwater inspections are costly, complex, and labor-intensive. This project proposes an affordable, AI-powered Miniature Autonomous Submarine for automated monitoring and real-time defect detection, reducing dependence on costly equipment and specialized personnel.


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Project Team

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Almamoun Ali Alhazmi
CE
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Tamer Maher Rustom
CE
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Badr S Alarifi
EE
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Zahid Sami Alabadllah
ICS
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Osama Mohammed Balubaid
ME
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Ali Nader Abdalla
ME

Team Coach

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Mr. Abdulmjeed Al-Othman
Graduate Assistant

Department of Information & Computer Science