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Remotely Operated Underwater Vehicle with Robotic Gripper
Author(s) -
Huzefa Juzer
Publication year - 2020
Publication title -
sir syed university research journal of engineering and technology
Language(s) - English
Resource type - Journals
eISSN - 2415-2048
pISSN - 1997-0641
DOI - 10.33317/ssurj.200
Subject(s) - underwater , remotely operated underwater vehicle , obstacle avoidance , sonar , computer science , real time computing , remotely operated vehicle , obstacle , robot , remote control , object (grammar) , task (project management) , wireless , simulation , artificial intelligence , engineering , mobile robot , automotive engineering , computer hardware , telecommunications , systems engineering , oceanography , law , political science , geology
This paper has been endeavoring to enforce modern technique in the field of electronics. It is focused on a 6Degree of Freedom (DOF) and an under actuated system. For the underwater controlling and modeling of the vehicle, it has used an Internet Protocol (IP) camera for underwater surveillance. The most important task which the project will do is that it has an image processing feature that will enable the vehicle to find and detect lost or floating objects and picked it out through robotic arm. The Sonar sensor shows the depth of the vehicle and the distance from objects and the barometer shows the surrounding pressure, temperature and altitude of the vehicle. The real time controlling is carried out with the prototype and the results shows that the system is fully capable of accomplishing tasks such as wireless communication, object detection, object recovery and can detect major environmental changes such as pressure, temperature, obstacle avoidance and other real time information processing effectively and efficiently. This report has been so devised to be of special value to research organizations. It introduces a model for simulation and control purpose. The Remotely Operated Underwater Vehicles (ROVs) are remote control underwater robots, driven by an individual on the surface. The whole system model is discussed and finally the results are conveyed.

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