Detecting assembling quality of Razor based on the machine vision system

  • Authors:

  • Zhongfei Wang;Shiming Ji;Li Zhang;Yanghui Huan;Guang Yang

  • Affiliations:

  • The MOE Key Laboratory of Mechanical Manufacture and Automation, Zhejiang University of Technology, Hangzhou, China;The MOE Key Laboratory of Mechanical Manufacture and Automation, Zhejiang University of Technology, Hangzhou, China;The MOE Key Laboratory of Mechanical Manufacture and Automation, Zhejiang University of Technology, Hangzhou, China;Hangzhou Richu Electron Ltd., Hangzhou, China;The MOE Key Laboratory of Mechanical Manufacture and Automation, Zhejiang University of Technology, Hangzhou, China

  • Venue:
  • IMCAS'06 Proceedings of the 5th WSEAS international conference on Instrumentation, measurement, circuits and systems
  • Year:
  • 2006

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Abstract

Whether the assembling angle and the extension elongation of the razor match the requirement will directly affect the function of razor. In this paper, a new kind of machine vision system for detecting the assembling angle and the extension elongation of razor is designed. And a special measure method--wavelet is applied to check the edge of razor, which can afford the more accurate data of razor edge checking than traditional measure method and has a great help to detect assembling quality of razor. The experiments results show this system has a great accuracy and reached the Standard of blade assemble detecting.