SISTEM DETEKSI OBJEK BAWAH AIR PADA AUTONOMOUS UNDERWATER VEHICLE (AUV) DENGAN MENGGUNAKAN METODE HOUGH TRANSFORM

RAHAJENG, NOVITA and Zarkasi, Ahmad (2020) SISTEM DETEKSI OBJEK BAWAH AIR PADA AUTONOMOUS UNDERWATER VEHICLE (AUV) DENGAN MENGGUNAKAN METODE HOUGH TRANSFORM. Undergraduate thesis, Sriwijaya University.

	Text RAMA_56201_09011181520042.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (3MB) | Request a copy
	Text RAMA_56021_09011181520042_TURNITIN.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (3MB) | Request a copy
Preview	Text RAMA_56021_09011181520042_0225087902_01_front_ref.pdf - Accepted Version Available under License Creative Commons Public Domain Dedication. Download (1MB) | Preview
	Text RAMA_56021_09011181520042_0225087902_02.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (330kB) | Request a copy
	Text RAMA_56021_09011181520042_0225087902_03.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (513kB) | Request a copy
	Text RAMA_56021_09011181520042_0225087902_04.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (587kB) | Request a copy
	Text RAMA_56021_09011181520042_0225087902_05.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (103kB) | Request a copy
	Text RAMA_56021_09011181520042_0225087902_06_ref.pdf - Bibliography Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (105kB) | Request a copy
	Text RAMA_56021_09011181520042_0225087902_07_lamp.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (238kB) | Request a copy

Abstract

The camera basically has the same characteristics as the human sense of sight (eye) "the eye will only capture the object in the direction where the eye is facing". The point of view of a conventional camera will also only be able to capture the object in front of it. The object detection system with the AUV robot will adjust the motor movement. This camera is shaped like a cable that is attached to the USB port, the camera can adjust to water conditions because it has an LED light. The shape like a cable also has the advantage of being able to reach the narrowest area of the robot used such as AUV. In this study using the hough transform method because the parameters are considered stronger. But the research will be limited because it only reads a limited distance. The robot will detect objects in the form of circles and triangles. Keywords : Robot, Autonomous Underwater Vehicle, Android Cam, Image

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Image, Robotic, AUV
Subjects:	Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation. T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL1-484 Motor vehicles. Cycles T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL1-4050 Motor vehicles. Aeronautics. Astronautics > TL221.13.D43 Electric vehicles--Power supply. Electric automobiles--Power supply. Fuel cells--Costs. Fuel cells--Government policy--United States. Electric vehicle industry. Fuel cell vehicles. T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL1-484 Motor vehicles. Cycles > TL221.13.D43 Electric vehicles--Power supply. Electric automobiles--Power supply. Fuel cells--Costs. Fuel cells--Government policy--United States. Electric vehicle industry. Fuel cell vehicles.
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Novita rahajeng
Date Deposited:	27 May 2022 02:19
Last Modified:	27 May 2022 02:22
URI:	http://repository.unsri.ac.id/id/eprint/70608

Actions (login required)

View Item