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http://dx.doi.org/10.6109/jkiice.2019.23.11.1384

Recognition Direction Improvement of Target Object for Machine Vision based Automatic Inspection  

Hong, Seung-Beom (Graduate School, Inje University)
Hong, Seung-Woo (Graduate School of Industry Convergence, Inje University)
Lee, Kyou-Ho (Dept. of Information and Communications Engineering, Inje University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.23, no.11, 2019 , pp. 1384-1390 More about this Journal
Abstract
This paper proposes a technological solution for improving the recognition direction of target objects for automatic vision inspection by machine vision. This paper proposes a technological solution for improving the recognition direction of target objects for automatic vision inspection by machine vision. This enables the automatic machine vision inspection to detect the image of the inspection object regardless of the position and orientation of the object, eliminating the need for a separate inspection jig and improving the automation level of the inspection process. This study develops the technology and method that can be applied to the wire harness manufacturing process as the inspection object and present the result of real system. The results of the system implementation was evaluated by the accredited institution. This includes successful measurement in the accuracy, detection recognition, reproducibility and positioning success rate, and achievement the goal in ten kinds of color discrimination ability, inspection time within one second and four automatic mode setting, etc.
Keywords
Recognition Direction; Machine Vision; Inspection; Cable Harness;
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