A Signal Processing Method for Metal Detection Sensitivity Improvement in Balance-Coil Metal Detectors for Food Products

Food products containing a high level of moisture generate detection signals on their own when passing through a balance-coil metal detector, even when not contaminated with metal. Metal detection methods for these cases necessarily involve signal processing strategies. Standard versions of these strategies usually take only the values of the detection signals into account but not their shape, i.e. not the order in which these values appear. In this paper, we develop a method able to improve metal detection sensitivity by appropriately taking detection signal “shape” into account. This requires a strategy for achieving synchronization between the signals corresponding to different items passing through the detector.

[1]  Gilles Demaurex,et al.  Detection of Physical Hazards , 2014 .

[2]  Sadao Yamazaki,et al.  Basic analysis of a metal detector , 2002, IEEE Trans. Instrum. Meas..

[3]  Jakub Svatos,et al.  Advanced Instrumentation for Polyharmonic Metal Detectors , 2016, IEEE Transactions on Magnetics.

[6]  M. J. English,et al.  Calculation of optimum spacing for a three coil axially symmetric metal detector , 1993 .

[7]  Yifei Zhao,et al.  On the Low-Frequency Electromagnetic Responses of In-Line Metal Detectors to Metal Contaminants , 2014, IEEE Transactions on Instrumentation and Measurement.

[8]  Shuzhong Bai,et al.  High Precision Algorithm of Metal Detector Based on Balance Coil , 2018, 2018 21st International Conference on Electrical Machines and Systems (ICEMS).

[9]  Wei Zhou,et al.  The research of metal detectors using in food industry , 2011, Proceedings of 2011 International Conference on Electronics and Optoelectronics.

[10]  Nitesh B. Guinde,et al.  A novel approach for metal detection in food using curve fitting technique , 2017, 2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT).