Design and Experiment of a Computer Vision System of an Autonomous Robot

Kurnia, Michael and Rusyadi, Rusman and Baskoro, Gembong (2016) Design and Experiment of a Computer Vision System of an Autonomous Robot. Masters thesis, Swiss German University.

[img]
Preview
Text
Michael Kurnia 220141213 TOC.pdf

Download (1MB) | Preview
[img] Text
Michael Kurnia 220141213 1.pdf
Restricted to Registered users only

Download (533kB)
[img] Text
Michael Kurnia 220141213 2.pdf
Restricted to Registered users only

Download (2MB)
[img] Text
Michael Kurnia 220141213 3.pdf
Restricted to Registered users only

Download (2MB)
[img] Text
Michael Kurnia 220141213 4.pdf
Restricted to Registered users only

Download (779kB)
[img] Text
Michael Kurnia 220141213 5.pdf
Restricted to Registered users only

Download (114kB)
[img]
Preview
Text
Michael Kurnia 220141213 Ref.pdf

Download (439kB) | Preview

Abstract

The purpose of the thesis is to design and experiment a computer vision system for an autonomous robot. Research and discuss the hardware and software required for the system. Write the code for the servo motor control and image processing for object detection. The thesis will adapt to the Hardware and Software design method of research to implement the system. The thesis has gathered data of the designed system and a prototype has been built to support the data gathered within this thesis. In conclusion, the thesis has shown the development of a simple computer vision system, implementing an algorithm that is suitable for the system and is able to extract coordinates from the image processed.

Item Type: Thesis (Masters)
Uncontrolled Keywords: Computer Vision; OpenCV; Raspberry Pi 2; Python; Raspberry Pi Camera; Design; Experiment; Noise Reduction
Subjects: T Technology > TJ Mechanical engineering and machinery > TJ163.12 Mechatronics
T Technology > TJ Mechanical engineering and machinery > TJ210 Robots (General)
T Technology > TJ Mechanical engineering and machinery > TJ212 Control engineering systems. Automatic machinery (General)
Divisions: Faculty of Engineering and Information Technology > Department of Mechatronics Engineering
Depositing User: Atroridho Rizky
Date Deposited: 08 Jul 2020 12:50
Last Modified: 08 Jul 2020 12:50
URI: http://repository.sgu.ac.id/id/eprint/1125

Actions (login required)

View Item View Item