| Development of a Smart Multipurpose Underwater Vehicle for Subsea Operations: Navigation and Objects detection using Artificial intelligence Techniques |
| Paper ID : 1158-IUGRC5 (R1) |
| Authors: |
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Youssef Mohsen Attia *1, Amr Mamdouh Tawakol1, Karim Kohel2, Adham Ahmed Khalifa1, Mohamed Sameh1, Ahmed Abdellatif1, Ibrahim Abdallah Abdelsalam,3 1Mechatronics Department, Faculty of Engineering, AASTMT, Cairo, Egypt 2Computer Department, Faculty of Engineering, AASTMT, Cairo, Egypt 3Electrical Power Department, Faculty of Engineering, AASTMT, Cairo, Egypt |
| Abstract: |
| This paper introduces a new multipurpose underwater vehicle prototype for subsea operations. A multipurpose underwater vehicle (MPUV) is a hybrid vehicle that combines the features of both remotely operated underwater vehicle (ROV) and Autonomous underwater vehicle (AUV). This vehicle is designed for exploration, underwater inspection, sea patrol, military applications and pick and place operations. Additionally, it was used for participation in regional and international competitions with different subsea missions. The mechanical design along with its calculations and stress analysis are presented for the prototype. Furthermore, the electrical system of the vehicle is introduced with the required electrical components and all the calculations regarding it, also it covers the safety precautions taken in consideration when designing the electrical system. The project also unravels the vehicle control system and showcases the optimum system for controlling the vehicle. Moreover, it reveals the impact of computer vision applications that range from 50-year-old multimedia frameworks like G-streamer to high-end open-source computer vision and machine learning frameworks like OpenCV, presented in the scope of a scalable local area network. Using basic media encoding techniques for efficient low latency data pipelines streaming to any number of devices on the MPUV network. Lastly, the paper showcases the reached output, gained competition awards and all the research and development regarding the vehicle. |
| Keywords: |
| Underwater Robotics, Remotely Operated Underwater Vehicle, Autonomous Underwater Vehicle, Artificial intelligence, Image processing. |
| Status : Paper Accepted (Oral Presentation) |
