INTRODUCTION

Color has been a great help in identifying objects for many years. The process of color classification involves extraction of useful information concerning the spectral properties of object surfaces and discovering the best match from a set of known descriptions or class models to implement the recognition task.

Furthermore, most manufacturers prefer color classification systems that provide repeatable and reliable operation. To satisfy this fact, a RGB color classification

system is introduced. This system is widely used in the industrial manufacturing and robotics, as it can reduce dependency on manpower and hence increase

the efficiency of production.

This project is about developing a low cost RGB color sensor. The color object will be classifieds by using fuzzy logic according the data given by the analog

sensor. Fuzzy logic is converted into high level language programming then embedded into microcontroller. To simulate the whole process from input to output

results Simulink is chosen to satisfy the task. This project aims in providing better understanding in fuzzy logic control and real life application.

PROJECT Background

METHODOLOGY

OBJECTIVE

1. To study the RGB color model

Research about RGB model, color characteristics and the way of the reflection.

2. To classify the RGB color using Fuzzy logic

Research and develop the fuzzy logic to classify the RGB color model. Then tune

the fuzzy according to the output needed.

3. To develop low cost RGB sensor

To prove by using fuzzy we can create the low cost RBG color sensor that work

better than electronic based max comparison RGB sensor.

CONCLUSION

This FYP project has proven that the development of a low-cost RGB

color classification sensor by using fuzzy logic system is possible. Compare

to conventional electronic based max comparison RGB color sensor, this

fuzzy sensor can actually detect four color which is red, green, blue and

other color. Based on this fact, we can implement this sensor in four color

detection environment.

Furthermore, the system can be use for educational purposes to ena-

bles students understand fully logic algorithm in solving problems.

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Simulink MODEL

RESULT

Fuzzy Set Design Fuzzy Rules

Hardware Architecture Sensor Design

Communication

Architecture

RULE IF RED IS AND GREEN IS AND BLUE IS THEN OUTPUT IS

1 Low Low Medium Blue

2 Low Low High Blue

3 Low Medium High Blue

4 Medium Low High Blue

5 Low Medium Low Green

6 Low High Low Green

7 Low High Medium Green

8 Medium High Low Green

9 Medium Low Low Red

10 High Low Low Red

11 High Medium Low Red

12 High Low Medium Red

13 Medium Medium High Blue

14 Medium High Medium Green

15 High Medium Medium Red