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Detection of defect of an automotive part using image processing approach

Azman, Afrena Darwisyah (2022) Detection of defect of an automotive part using image processing approach. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

In manufacturing sector, quality control department plays a significant role to ensure the product produced are high quality. One of the important elements in quality control is inspection. However, when dealing with inspection, there are several issues that arise such as being unable to detect defect, lack of accuracy and inefficiency to identify defect. Using manual inspection and incorrect equipment leads to major problems due to lack of accuracy which will consume longer processing time. Besides, this issue also encourages the growth rate of customer complaints. Owing to this reason, there is a need to propose a solution using image processing approach with regards to inspection to solve this problem. This project is aimed to achieve three objectives which are to identify the frequency of defective injection moulded part produced, to fonnulate an algorithm via image processing technique to detect defective part and to analyse the effectiveness of image processing technique for quality inspection in term of accuracy and processing time. There are five parts included to conduct this project according to the procedure which are defect frequency identification, method selection for image processing, development of MATLAB coding, debugging MATLAB coding, and automatic inspection analysis. MATLAB Simulink software is used to generate the algorithm and Graphical User Interface (GUI) in this project. A total of 100 parts sample was inspected and the accuracy achieved is 96% with 8.81 seconds of processing time reduced. The inspection environment must be controlled by controlling the illumination to improve the inspection quality. Finally, the ability of this system may be upgraded to detect 3D defects so that the system will perform better and more useful for the company.

Item Type: Final Year Project (Project Report)
Uncontrolled Keywords: Quality control, Image processing Digital techniques, Automobiles Defects, MATLAB
Subjects: T Technology > TS Manufactures
Divisions: Library > Final Year Project > FKP
Depositing User: Mr Eiisaa Ahyead
Date Deposited: 29 Mar 2023 07:29
Last Modified: 29 Mar 2023 07:29
URI: http://digitalcollection.utem.edu.my/id/eprint/27407

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