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http://dx.doi.org/10.21289/KSIC.2018.21.6.369

A Study on Shape Recognition Technology of Die Casting and Forging Parts Based on Robot Vision for Inspection Process Automation in Limit Environment  

Bae, H.Y. (경남대학교 산업경영대학원)
Kim, H.J. (경남대학교 산업경영대학원)
Paeng, J.I (경남대학교 산업경영대학원)
Sim, H.S. ((주)동산테크)
Han, SH (경남대학교 기계공학부)
Moon, J.C. (경남대학교 기계공학부)
Publication Information
Journal of the Korean Society of Industry Convergence / v.21, no.6, 2018 , pp. 369-378 More about this Journal
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
Smart factory; Robot Vision; shape a,d Maching Precision; Rreal Time Rrecognition; Automatic Inspection; Limit Environment;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
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