Automatic Recognition System of Key Tooth Based on Machine Vision

Article Preview

Abstract:

Key tooth recognition is an important procedure of lock core assembly, it directly affects the assembly efficiency and qualified product rate. The current method is artificial and mechanical recognition, which has defects of mechanical loss, low precision and automatic degree. This paper proposes an innovative solution based on machine vision technology. The recognition system uses TMS320DM642 as the core processor. The image sensor MT9M001 acquires key image. The operation of image processing algorithm produces the key tooth code. Communication with the lock core assembly system uses 485-bus. The experimental result indicates that the method proposed in this paper is superior to the existing methods.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

802-807

Citation:

Online since:

August 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Gary Bradski, Adrian Kaehl: Learning OpenCV. Nanjing: Southeast University Press (2009).

Google Scholar

[2] Zheng Hong, Liu Zhenqiang: Embedded DSP Application System Design and Examples of Analysis-Based TMS320C/DM64x Platform. Beijing: Beijing University Press (2012).

Google Scholar

[3] Hongru Du, Wuyin Jin, Xia Zhang: A Method of Dimension Measurement for Spur Gear Based On Machine Vision. International Conference on Multimedia and Signal Processing (2011).

DOI: 10.1109/cmsp.2011.56

Google Scholar

[4] Wang Tao, Xu Yaping, Kang Hailong: Image Binarization Based on Canny Operator. Microcomputer Applications (2010).

Google Scholar

[5] Azmi Mohamed, Abdul Halim Esa, Muhammad Azmi Ayub: Roundness Measurement of Cylindrical Part by Machine Vision. International Conference on Electrical, Control and Computer Engineering (2011).

DOI: 10.1109/inecce.2011.5953931

Google Scholar

[6] Tao Zhang, Yi Luo, Xiaodong Wang, Mixin Wang: Machine Vision Technology for Measurement of Miniature Parts in Narrow Space Using Borescope. International Conference on Digital Manufacturing and Automation (2011).

DOI: 10.1109/icdma.2010.171

Google Scholar