Shape-based matching: Defect inspection of glue process in vision system

This research regarding the application of a vision algorithm sensor to monitor the operation of a system in order to control the concerning jobs and work pieces recognition that are to be made during system operation in real time. This paper stresses more on the vision algorithm that mainly focus on shape-based matching application. This algorithm consists of two parts; training phase and recognition phase. Region of interest (ROI) are using to create the special region of the defect model for easier in matching purposes. By minimizing the ROI are able to decrease the processing time taken in order for completing its task. 3 models will be created as a main defect; gap defect, bumper defect and bubble defect are trained through the system to extract the special data created for them and using it to provide data in finding matching defect with tested images after gluing process being done.