Journal of the Korean Society of Industry Convergence (한국산업융합학회 논문집)

The Korean Society of Industry Convergence (한국산업융합학회)
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A Study on Shape Recognition Technology of Die Casting and Forging Parts Based on Robot Vision for Inspection Process Automation in Limit Environment

극한환경 검사공정 자동화를 위한 로봇비전 기반 주단조 부품의 형상인식 기술에 관한 연구

  • Received : 2018.09.28
  • Accepted : 2018.12.03
  • Published : 2018.12.31
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Abstract

This study proposes a new approach to real time implimemtation of shape recognition technology of die casting and forging parts based on robot vision for smart factory. The proposed shape recognition and inspection technology for forging and die casting parts is very useful for manufacturing process automatiom and smart factory including external form's automatic inspection of machanical or electronic panrs for the precision verification. The reliabiblity of proposed technology Ihas been illustrated through experiments.

Keywords

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Fig. 1 Flowchart of Image thresholding

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Fig. 2 Flowchart of Initial Column for segment region

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Fig. 3 Flowchart to find the end column for segment region

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Fig. 4 Flowchart of edge detection

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Fig. 5 The Process of Shape recognition

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Fig. 6 Structure of vision system based PC

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Fig. 7 Vision algorithm for inspection of surface scratch

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Fig. 8 Hardware scheme of Image recognition

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Fig. 9 Real image of reference model of forging part

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Fig. 10 A real image of reference model

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Fig. 11 Gray level value of optimizing histogram in set inspection area

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Fig. 12 Inspected image of model

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Fig. 13 The forging parts for shape recognition based on robot vision

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Fig. 14 The scene of experiments

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Fig. 15 The result anaysis of shape recognition of forging parts

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