Contributions of Research Scope of Research

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1.5 Contributions of Research

The contributions in this research are mainly to increase flexibility and adaptability of the vision system in order to accommodate changes. A different point of view was exploited especially in automobile industry for windscreen car gluing process. 1. Capabilities of user define ROI creations replacing standard dedicated feature extraction methods that is unique as every solutions is different based on the problems and requirements that are needed specifically. 2. Capabilities of 3D vision inspection using 2D inspection method by just manipulating camera placement, inspection of multiple dimensions are also possible by adding more cameras at different viewing angle. 3. The implementation of inspection system that consume to detect whether the object gluing perfectly or error occurred in gluing line with providing additional data including x, y and z coordinates for gluing process. 4. Correction of defect application consists of two application 1 st CoD and 2 nd CoD provides a service to alter the uncertainties occurred during inspection system to ensure reject products still can be produced as a quality product. 5. The implementation of this vision system using Graphical User Interface allows everyone to be able to use it even without immense knowledge of the vision background.

1.6 Scope of Research

The scope of this research is limited to the following items so that the research could be focused to achieve the stated objectives. 18 1. The vision system will focusing on recognizing 3D objects by using multi-camera application. 2. The vision system is applied to a control environment, the lighting conditions are assumed constant during the recognizing and identifying defects phase. 3. The GUI will be designed using Visual Basic 6.0 as medium to supervise all process in this research. 4. The vision system is constructed for defect shape matching and inspection of defects application with the assistive from Katana 6M robot arm and KUKA KR5 sixx R650 Robot Arm. 19 CHAPTER 2 THEORETICAL BACKGROUND

2.0 Introduction

This chapter will discuss mainly on the theory and current development in Vision System and Industrial Robot Application. This chapter is divided into two parts, one for Vision System and the other is for Industrial Robot Application.

2.1 Vision Based Algorithm

To achieve fully flexible automated system, one of the supporting systems is machine vision, which will be discussed in detail in this chapter; the other two is Process Automation and Transportation System. Machine Vision is the application of computer vision to industry and manufacturing sectors, mainly focused on machine based image processing. It is also the study of methods and techniques whereby artificial vision system can be constructed and usefully employed in practical applications Davies, 2005. When comparing traditional inspection or measurement gauge techniques to a vision based system, several advantages stand out Rebner, 1985. 1. Non contact operation. The sensor is not in physical contact with inspected part, therefore, the probe or sensor has no wear and deformable objects such as rubber parts can be easily gauged.