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A statistical pattern analysis approach for rapid coin identification based on Eddy-current sensors

Elsevier Ltd
Publication Date
DOI: 10.1016/j.proeng.2011.08.1035
  • Coin Recognition
  • Eddy-Current
  • Design


Abstract We present an effective approach based on eddy-current sensors enabling rapid identification of different coin classes in this work. The employed Eddy-current sensing technique aims to detect the induced signals which are transponded back to the induction coil so that the system can promptly process the characteristic signals and recognize authenticity and classes of inspected coins. The training and identification program in this recognition system are developed by LabVIEW® interface and thus data accuracy can be secured. The experimental results have proven the proposed eddy-current sensing method an efficient way to rapidly identify authentic coins. It is found that the maximum identification rate can achieve 14 coins per second provided a coin feeding mechanism can be appropriately designed.

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