Real-time defect detection on highly reflective curved surfaces

G Rosati, G Boschetti, A Biondi, A Rossi - Optics and Lasers in Engineering, 2009 - Elsevier
Optics and Lasers in Engineering, 2009Elsevier
This paper presents an automated defect detection system for coated plastic components for
the automotive industry. This research activity came up as an evolution of a previous study
which employed a non-flat mirror to illuminate and inspect high reflective curved surfaces.
According to this method, the rays emitted from a light source are conveyed on the surface
under investigation by means of a suitably curved mirror. After the reflection on the surface,
the light rays are collected by a CCD camera, in which the coating defects appear as …
This paper presents an automated defect detection system for coated plastic components for the automotive industry. This research activity came up as an evolution of a previous study which employed a non-flat mirror to illuminate and inspect high reflective curved surfaces. According to this method, the rays emitted from a light source are conveyed on the surface under investigation by means of a suitably curved mirror. After the reflection on the surface, the light rays are collected by a CCD camera, in which the coating defects appear as shadows of various shapes and dimensions. In this paper we present an evolution of the above-mentioned method, introducing a simplified mirror set-up in order to reduce the costs and the complexity of the defect detection system. In fact, a set of plane mirrors is employed instead of the curved one. Moreover, the inspection of multiple bend radius parts is investigated. A prototype of the machine vision system has been developed in order to test this simplified method. This device is made up of a light projector, a set of plane mirrors for light rays reflection, a conveyor belt for handling components, a CCD camera and a desktop PC which performs image acquisition and processing. Like in the previous system, the defects are identified as shadows inside a high brightness image. At the end of the paper, first experimental results are presented.
Elsevier
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