Defect Inspection System for Shape-Based Matching Using Two Cameras
This research is regarding the application of a vision algorithm to investigates various approaches for automated inspection in of gluing process using shape-based matching application in order to control the decision making concerning jobs and work pieces recognition that are to be made during sy...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Little Lion Scientific Islamabad Pakistan
2014
|
| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/17135/1/JATIT%20Journal%20-%20Published.pdf http://eprints.utem.edu.my/id/eprint/17135/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | This research is regarding the application of a vision algorithm to investigates various approaches for
automated inspection in of gluing process using shape-based matching application in order to control the
decision making concerning jobs and work pieces recognition that are to be made during system operation
in real time. A new supervised defect detection approach to detect a class of defects in gluing application is
proposed. Creating of region of interest in important region of object is discussed. Gaussian smoothing
features in determining better image processing is proposed. Template matching in differentiates between
reference and tested image are proposed. This scheme provides high computational savings and results in
high defect detection recognition rate. The defects are broadly classified into three classes: 1) gap defect; 2)
bumper defect; 3) bubble defect. A new low-cost solution for gluing inspection is also included in this
paper. The defects occur provides with information of height (z-coordinate), length (y-coordinate) and
width (x-coordinate). This information gathered from the proposed two camera vision system for
conducting 3D transformation. |
|---|