A 3D Vision-Based Quality Inspection Study for Molded Part with Multiple Geometry Shapes


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3D vision based quality inspection has been widely applied in manufacturing industry. Product quality is retrieved from the point cloud obtained using 3D vision methods. Generally, three sorts of quality inspection methods can be selected according to the specific requirements. This paper studied a combining quality inspection method for the quality inspection of a plastic molded part with multiple geometry shapes. Only incomplete point cloud is available because of the characteristics of the part material. Shape fitting and template matching methods are applied for deformation detection with respect to different shapes. Experiment result shows the proposed method can accomplish the quality inspection task for the part with multiple geometry shapes.



Edited by:

Kesheng Wang, Jan Ola Strandhagen and Dawei Tu




Q. Yu and K. S. Wang, "A 3D Vision-Based Quality Inspection Study for Molded Part with Multiple Geometry Shapes", Advanced Materials Research, Vol. 1039, pp. 529-537, 2014

Online since:

October 2014





* - Corresponding Author

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