Design and analyze of the on-line detection system of the surface quality of crystal oscillator shell based on machine vision

  • Authors:

  • Shiming Ji;Li Zhang;Yi Xie;Qiaoling Yuan;Yindong Zhang;Mingsheng Jin;Ying Zhang

  • 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;Institute of computer and information engineering, Zhejiang Gongshang University, 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;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

  • Venue:
  • ISCGAV'07 Proceedings of the 7th WSEAS International Conference on Signal Processing, Computational Geometry & Artificial Vision
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

The Quality of Crystal Oscillator Shell has important influence to its capability as the benchmark clock unit of circuit. So it is important to detect its quality. Based on the basic principle of machine vision for on-line detecting, machinery structure of the system is designed firstly, then according the requirement of product detecting, the periphery control system is researched, al last, the Detection of the Surface Quality is realized based on the Euler and binary. The experiment indicates this system has the advantages of precision, no contact and stabilization. This system can work with the auto punch and according the surface quality of crystal oscillator shell, the abrasion state of punch mould is estimated indirectly. The product automaton is realized.