NON-CONTACT METHOD FOR METAL RECOGNITION

Authors

  • R.T. Ilarionov
  • N.A. Shopov
  • I.S. Simeonov

DOI:

https://doi.org/10.18372/2073-4751.4.580

Abstract

 The present article proposes a non-contact method for metal recognition - aluminium, chrome-nickel steel, brass and copper. A piezoelectric emitter sends an acoustic wave to the object to be identified. The reflected signal is received and processed using orthogonal wavelet basis functions. Clusters are formed based on feature spaces of classifiers realized following the knearest neighbour (kNN) method. During each subsequent measurement the results are related to a specific cluster. This approach has yielded a 100%  recognition of the above materials, as well as three types of explosives

References

Dyakonov Vl. Wavelets. From Theory to Practice. Solon-R, Moscow, 2002 (in Russian).

Dyakonov Vl., Abramenkova I. MATLAB Signal and Image Processing. Special Guide, Piter, Sankt-Peterbourg, 2002 (in Russian).

Novikov L.B. Fundamentals of Wavelets Analysis of Signals, Training material, IAnP RAN, Sankt-Peterbourg, 1999 (in Russian).

Petouhov A.P. Introduction to the Theory wavelets, SPbGTU, Sankt-Peterbourg, 1999 (in Russian).

Smolentsev N.N. Fundamentals of Wavelet Theory. Wavelets in MATLAB, DMK Press, Moscow, 2005 (in Russian).

Daubechies I., Ten Lectures on Wavelets, CBMS-NSF Conference Series in Applied Mathematics. SIAM Ed., 1992.

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Published

2012-06-23

How to Cite

Ilarionov, R., Shopov, N., & Simeonov, I. (2012). NON-CONTACT METHOD FOR METAL RECOGNITION. Problems of Informatization and Control, 4(28), 60–65. https://doi.org/10.18372/2073-4751.4.580

Issue

Vol. 4 No. 28 (2009)

Section

Статті

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