This document describes a project to develop software code to improve the accuracy of shrimp grading machines. The software GUI code was successfully developed using MATLAB GUIDE and Simulink to perform automated shrimp grading. This automated system improved the accuracy of shrimp grading and reduced the costs for manual labor. The proposed method involved coding development using MATLAB and C programming for the control panel and GUI, pilot testing, and refinement of the program to validate the concept.

1. INTRODUCTION
DESIGN OF SOFTWARE CODE TO IMPROVE THE ACCURACY OF
SHRIMP GRADING MACHINE
CHAN CHAO SHIUNG FB12061
Faculty of Manufacturing Engineering
Supervisor: Ir. Dr. FAIZ BIN MOHD TURAN
FRAMEWORK RESULT
CONCLUSION
 Project objective is achieved, software GUI code was successfully
developed using MATLAB GUIDE along with Simulink to perform
automated shrimp grading.
 The automated system has improved the accuracy of shrimp
grading and reduces the cost for man power
Industry
Existing systems
Image processing
Mechanical
Manpower
Accuracy
QUALITY
COST
PRODUCTIVITY
IMPROVE
System: Weight sensor
Software coding: MATLAB and C
Proposed Method
Problem
Classification
Development
Library
(Templates / modules)
small
medium large
Phase 1
Coding development
Control panel development
using C-programming (GUI)
Pilot testing
Validation
Proof of system concept
Phase 2
No
No
Refinementofprogram
REFERENCE
 D.-J. Lee et al.: Contour Matching for Fish Species Recognition and
Migration Monitoring, Studies in Computational Intelligence (SCI)
122, 183–207 (2008)
 a b Nobuyuki Otsu (1979). "A threshold selection method from
graylevel histograms". IEEE Trans. Sys., Man., Cyber. 9: 62–66.
doi:10.1109/TSMC.1979.4310076.