Abstract
In recent years, a variety of manufacturing is being developed. In the factory production line, an automatic inspection system with lower cost and higher precision is needed. Many inspection systems use image processing. However, generally the inspection system using image processing cannot be examined in certain optical condition, i.e., room light or sunlight can greatly affect the performance. Another problem is high cost for capital investment of the inspection system. In order to solve these problems, an image processing method using the YCbCr color space characteristics and cyan light is proposed. Also, an inexpensive system for its implementation is developed. Finally, the inexpensive image processing inspection system for reducing the influence of ambient light can be realized.
Highlights
IntroductionUsers require the high quality of industrial product made from the process
In recent years, the variety of manufacturing is being developed
Generally the inspection system using image processing cannot be examined in certain optical condition, i.e., room light or sunlight can greatly affect the performance
Summary
Users require the high quality of industrial product made from the process It can improve the reliability of the manufacturer. Inspection process of sealant in Nissan Motor Kyushu plant that is covered in this research is automated. The automotive sealant that has been applied to the seam of iron plate of the car wheel parts is inspected on a production line of Nissan Motor Kyushu plant. This sealant is used in order to prevent the water leak from the outside of a car. The automotive sealant (Black) horizontal development cost, is very expensive We propose an optimal image processing inspection system with reduced specular reflection(5,6) due to the influence of ambient light using an inexpensive system components
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