Indonesian Journal of Electrical Engineering and Computer Science
Vol 6, No 1: April 2017

FPGA Implementation of Real Time String Colour Detection

Teo Sje Yin (University Malaysia Perlis)
P. Ehkan (University Malaysia Perlis)
Soon Voon Siew (University Malaysia Perlis)
Lam Chee Yuen (University Malaysia Perlis)
M. N.M.Warip (University Malaysia Perlis)



Article Info

Publish Date
01 Apr 2017

Abstract

A Machine vision for string detection is useful technologies which benefit to the industries such as food production. It reduces the risk that can harmful to our health and it can do work more accurate and efficient. The algorithm used is a colour detection which determines the colour of string and background subtraction for filter process by using the threshold range values. The target of detection focuses on plastic string with two different colours; pink and yellow strings. The threshold values used in hardware detection are ranged from 158 to 175 and 3 to 35 for pink and yellow string colours, respectively. The result shows that an object tied with strings is able to be detected and captured by using this system. Overall, this project is successfully developed and achieved the goal for real time detecting a string which is implemented on FPGA.

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