Proceeding of the Electrical Engineering Computer Science and Informatics
Vol 3: EECSI 2016

A Position Controller Model on Color-Based Object Tracking using Fuzzy Logic

Budi Cahyo Wibowo (Sultan Agung Islamic University)
Imam Much Ibnu Subroto (Sultan Agung Islamic University)
Bustanul Arifin (Sultan Agung Islamic University)



Article Info

Publish Date
01 Dec 2016

Abstract

Robotics vision is applying technology on the camera to view the environmental conditions as well as the function of the human eye. Colour object tracking system is one application of robotics vision technology with the ability to follow the object being detected. Several methods have been used to generate a good response position control, but most are still using conventional control approach. Fuzzy logic which includes several step of which is to determine  the  value  of  crisp  input  must  be  fuzzification.  The  output  of  fuzzification  is forwarded to the process of inference in which there are some fuzzy logic rules. The inference output forwarded to the process of defuzzification to be transformed into outputs (crisp output) to drive the servo motors on the X-axis and Y-axis. Fuzzy logic control is applied to the color- based object tracking system, the system is successful to follow a moving object with average speed of 7.35 cm/s in environments with 117 lux light intensity.

Copyrights © 2016






Journal Info

Abbrev

EECSI

Publisher

Subject

Computer Science & IT Electrical & Electronics Engineering

Description

Proceeding of the Electrical Engineering Computer Science and Informatics publishes papers of the "International Conference on Electrical Engineering Computer Science and Informatics (EECSI)" Series in high technical standard. The Proceeding is aimed to bring researchers, academicians, scientists, ...