Abstract
The surface defects of plastic after the injection molding process have been inspected human inspector. In this paper, we propose the automated surface inspection system to detect 3D defects on injection molding objects. This vision system is equipped with 4-cameras and 8-illuminations and is designed to find optimal configuration between camera, illumination and object to detect the defects on an object. Also we develop algorithms to detect defects in captured images. The developed surface inspection system reduce the labor costs and time, whereas increase the detection accuracy of the surface defects such as scratch. The proposed algorithm uses the difference of the brightness of the obtained image by the camera and illumination system for acquiring data of the surface of the object. We focus on the surface defect detection of black molding object. Scratch detection is performed by the developed vision inspection system.
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Acknowledgement
This research was financially supported by the Human Resource Training Project for Regional Innovation and Creativity (NRF-2014H1C1A1066998).
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Lee, J.Y., Bong, W., Lee, S., Han, C.H., Ko, K.W. (2017). Development of the Vision System and Inspection Algorithms for Surface Defect on the Injection Molding Case. In: Park, J., Pan, Y., Yi, G., Loia, V. (eds) Advances in Computer Science and Ubiquitous Computing. UCAWSN CUTE CSA 2016 2016 2016. Lecture Notes in Electrical Engineering, vol 421. Springer, Singapore. https://doi.org/10.1007/978-981-10-3023-9_150
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DOI: https://doi.org/10.1007/978-981-10-3023-9_150
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