Earticle

초록

영어

Recently, the production amount of automobile parts is gradually increasing as the market grows and plenty of parts are substituted by plastic products for efficient energy consumption. Thus, systematic control of mass production and management on plastic products is inevitable. Plastic products for the car are manufactured by injection molding process because of the attributes of plastic materials. During injection molding process, defective products can be broken out by internal or external environment change. Currently, most of inspections for the defective products are performed by visual inspection. The authors developed an automatic inspection system that can detect the defects of plastic product using vision system. The authors also developed image processing algorithm in automatic inspection system to detect various type of defects and scratch.

목차

Abstract
 1. Introduction
 2. System Modeling
 3. Implementation Results and Analysis
 5. Conclusion
 References

키워드

저자

• Gwan-Hyung Kim [ Dept. of Computer Engineering, Tongmyong University, Busan, Korea ] Corresponding author
• Oh-Hyun Kwon [ Dept. of Computer Engineering, Tongmyong University, Busan, Korea ]
• Sang-il Myong [ Dept. of Electrical Engineering, Tongmyong University, Busan, Korea ]
• Sung-Dae Kim [ Dept. of Electrical Engineering, Tongmyong University, Busan, Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605