Development of Visual Inspection System Using Patterned Illumination

Nagato, Tsuyoshi; Fuse, Takashi; Koezuka, Tetsuo

doi:10.2493/jjspe.80.1126

Cited by 1 publication

(1 citation statement)

References 3 publications

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“…convex defects, concave defects, stains, and rubbing scratches). Many factors can be cited as the causes of such defects, but the scratches and dents that occur on the surface during the production process, stains caused by adhesive agents and lubricants, and painting over an adhesion of particles of dust and dirt are thought to be the most common causes . Stains occur when an adhesive agent or lubricant adheres, and the likelihood that rubbing scratches will occur during the assembly and transport of products is highest of all.…”

Section: Characteristics Of Painting Defectsmentioning

confidence: 99%

Automatic visual inspection method for a coated surface having an orange peel effect

Yimit

Itou

Matsui

et al. 2018

IEEJ Transactions Elec Engng

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In many production processes, defect detection has played an important role in preventing the outflow of defective products. As such, there are still many production lines that rely on an inspector's visual observation. In this study, using fluorescent tubes as an irradiation light source, we propose a simple and effective visual inspection method for detecting convex defect on painted surfaces having an orange peel effect. The proposed method detects and distinguishes painted surface defects in an area illuminated by fluorescent tubes, using the combination of local segmented results and gradient information computed with different differential operations. The inspection device for detecting the defect can be easily installed in the production line without changing the production line, and can be constructed at a low cost without using additional adaptations. The performance of the proposed method was evaluated with the data of real products captured with an inspection device installed on the production line. Experimental results show that this method can provide a better detection in the inspection region with a low false‐detection rate. © 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

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Section: Characteristics Of Painting Defectsmentioning

confidence: 99%