Sensor and method for discriminating coins using fast fourier transform

• US 7,552,810 B2
• Filed: 10/12/2004
• Issued: 06/30/2009
• Est. Priority Date: 03/11/2002
• Status: Active Grant

• Current Assignee: Cummins-Allison Corporation (Crane Company)
• Original Assignee: Cummins-Allison Corporation (Crane Company)
• Inventors: Mecklenburg, David J.
• Primary Examiner(s): Mackey; Patrick
• Assistant Examiner(s): BEAUCHAINE, MARK J
• Application Number:
  US10/963,314
• Publication Number:
  US 20050045450A1
• Time in Patent Office: 1,722 Days
• Field of Search: 194/317, 194/224, 194/302, 194/318, 194/319, 194/320, 731/63, 324/600, 324/602, 324/605, 324606-609
• US Class Current: 194/317
• CPC Class Codes: G07D 3/121 arranged on inclined paths
• CPC Class Codes: G07D 3/16 in combination with coin-counting
• CPC Class Codes: G07D 5/00 Testing specially adapted to determine the identity or genuineness of coins, e.g. for segregating coins which are unacceptable or alien to a currency
• CPC Class Codes: G07D 5/02 Testing the dimensions, e.g. thickness, diameter; Testing the deformation
• CPC Class Codes: G07D 5/08 Testing the magnetic or electric properties

Abstract

A coin discrimination sensor having an excitation coil and two detector coils arranged to detect eddy currents in a passing coin. The excitation coil is provided a composite waveform formed by adding a low frequency signal (30 KHz) with a high frequency signal (480 KHz). The two detector coils are arranged at different distances from the passing coin, and are calibrated to eliminate the common-mode voltage when no coin is present. As a coin passes by the sensor, eddy currents are induced in the coin which result in phase and amplitude shifts in the low and high frequency components of the detector signal. The low and high frequency components are separated from the detector signal, and their respective phases and amplitudes are ascertained and compared against values stored in a lookup table. These values represent the composition, thickness, and diameter characteristics of known coins, and if the signature of the processed coin does not appear in the lookup table, it can be flagged as an invalid coin.

Claims

1. A sensor assembly for determining an authenticity of coins, comprising:

an excitation device configured to receive an excitation signal having multiple fixed excitation frequency components and to produce a magnetic field over a coin path, said magnetic field coupling to said coins to induce eddy currents within said coin;

a reception device configured to receive first and second reception signals corresponding to said eddy currents, the voltage difference of said first and second reception signals being termed a detection signal, said detection signal having the same multiple fixed frequency components as said excitation signal; and

first logic circuitry coupled to analog-to-digital (ADC) circuitry, said ADC circuitry coupled to said reception device, said first logic circuitry configured to produce a coin signature representing at least one of amplitudes and phase angles of said multiple fixed frequency components of said detection signal by application of a Fast Fourier Transform (FFT) to digital samples representing said detection signal,

wherein said ADC circuitry is configured to sample said detection signal at a sampling frequency greater than a highest frequency of said multiple fixed excitation frequency components to produce digital samples representative of said detection signal.

2. The sensor assembly of claim 1, wherein said excitation device receives a composite signal having a fixed high fundamental excitation frequency component and a fixed low fundamental excitation frequency component.

3. The sensor assembly of claim 2, wherein said fixed high fundamental frequency component oscillates at a frequency at least eight times greater than the frequency at which said fixed low fundamental frequency component oscillates.

4. The sensor assembly of claim 1, wherein said sampling of said detection signal is at a rate of at least four samples per period of said detection signal.

5. The sensor assembly of claim 1, wherein said sampling of said detection signal is at a rate of 256 samples per period of detection signal.

6. The sensor assembly of claim 1, wherein said coin signature includes a first pair of coin signature values representing the amplitude of two phase angles of a low-frequency component of said multiple fixed frequency components and a second pair of coin signature values representing the amplitude of two phase angles of a high-frequency component of said multiple fixed frequency components.

7. The sensor assembly of claim 1, wherein said reception device comprises two reception coils.

8. The sensor assembly of claim 7, further comprising a bobbin made of a non-metallic material, wherein said reception coils circumscribe said bobbin.

9. The sensor assembly of claim 8, wherein said non-metallic material includes at least one of acetal resin, nylon, ceramic, or alumina.

10. The sensor assembly of claim 1, wherein said excitation device and said reception device are located on the same side of said coin path.

11. The sensor assembly of claim 1, wherein said coins include tokens.

12. A method of determining an authenticity of coins, comprising:

producing a magnetic field over a coin path, said magnetic field coupling to said coins to induce eddy currents within said coin at multiple fixed excitation frequencies;

detecting first and second reception signals corresponding to said eddy currents using a reception device, the voltage difference of said first and second reception signals being termed a raw detection signal, said raw detection signal having the same multiple fixed frequencies as said eddy currents within said coin;

producing a coin signature representing at least one of amplitudes and phase angles of multiple fixed frequency components of said raw detection signal by application of a Fast Fourier Transform (FFT) to digital samples representing said raw detection signal; and

sampling said raw detection signal at a sampling frequency greater than a highest frequency of said multiple fixed excitation frequencies to produce digital samples representative of said raw detection signal.

13. The method of claim 12, wherein said sampling of said raw detection signal is at a rate of at least four samples per period of said raw detection signal.

14. The method of claim 12, wherein said coin signature includes a first pair of coin signature values representing the amplitude of two phase angles of a low-frequency component of said multiple fixed frequencies and a second pair of coin signature values representing the amplitude of two phase angles of a high-frequency component of said multiple fixed frequencies.

15. A sensor assembly for determining an authenticity of coins, comprising:

a transmission coil configured to receive an excitation signal having multiple fixed excitation frequency components including a low-frequency component and a high-frequency component, said transmission coil further configured to produce a magnetic field over a coin path, said magnetic field coupling to said coins to induce eddy currents within said coin;

two reception coils configured to detect respective first and second reception signals corresponding to said eddy currents, the voltage difference of said first and second reception signals being termed a raw detection signal, said raw detection signal having the same multiple fixed frequency components as said excitation signal;

an analog-to-digital converter (ADC) circuitry coupled to said two reception coils, said ADC circuitry configured to sample raw detection signal to produce digital samples representative of said raw detection signal; and

first logic circuitry coupled to said ADC circuitry and configured to produce a coin signature representing amplitudes of respective multiple fixed frequency components of said raw detection signal by application of a Fast Fourier Transform (FFT) to digital samples representing said raw detection signal.

16. The sensor assembly of claim 15, wherein said coin signature includes a first pair of coin signature values representing the amplitude of two phase angles of said low-frequency component and a second pair of coin signature values representing the amplitude of two phase angles of said high-frequency component.

17. The sensor assembly of claim 16, wherein said two phase angles of said low-frequency component are about 90 degrees apart and said two phase angles of said high-frequency component are about 90 degrees apart.

18. The sensor assembly of claim 16, wherein said two phase angles of said low-frequency component are the sine and cosine positions of said low-frequency component and said two phase angles of said high-frequency component are the sine and cosine positions of said high-frequency component.

19. The sensor assembly of claim 15, further comprising a buffer between said ADC circuitry and said two reception coils, said buffer configured to amplify said raw detection signal before processing by said ADC circuitry.

20. The sensor assembly of claim 19, further comprising an encoder coupled to said ADC circuitry and configured to produce a signal indicating the presence or non-presence of a coin passing proximate said two reception coils.

21. The sensor assembly of claim 15, further comprising peak-detection circuitry coupled to said first logic circuitry and configured to detect the approximate center of a coin passing proximate said two reception coils and to store the coin signature corresponding to said approximate center.

22. The sensor assembly of claim 21, further comprising signature calibration control circuitry coupled to said peak-detection circuitry and configured to adjust a coin signature for at least one anomaly, said signature calibration control circuitry being further configured to store an adjusted coin signature based on said coin signature when said at least one anomaly is present.

23. The sensor assembly of claim 22, wherein said at least one anomaly is a calibration offset.

24. The sensor assembly of claim 22, wherein said at least one anomaly is a temperature drift.

25. The sensor assembly of claim 21, further comprising a coin data table that includes a set of coin data of at least one range of acceptable coin signature values, a coin having a coin signature falling within said at least one range being termed an acceptable coin.

26. The sensor assembly of claim 21, further comprising a coin data table that includes a set of curves along which acceptable coin signature values fall, a coin having a coin signature falling on a curve of said set of curves to within a desired tolerance being termed an acceptable coin.

27. The sensor assembly of claim 21, wherein said first logic circuitry includes a microprocessor programmed to enter into a learning mode that develops coin signature windows by application of said FFT.

28. The sensor assembly of claim 15, wherein said first logic circuitry is configured to produce at least about 30,000 coin signatures per second.

29. The sensor assembly of claim 15, wherein said coins include tokens.

30. The sensor assembly of claim 15, wherein said high-frequency component oscillates at a frequency at least eight times greater than the frequency at which said low-frequency component oscillates.

31. A method of determining an authenticity of coins, the method comprising:

producing a magnetic field over a coin path, said magnetic field associated with multiple fixed excitation frequencies, said magnetic field coupling to said coins to induce eddy currents within said coin;

detecting first and second reception signals corresponding to said eddy currents using respective first and second reception coils, the voltage difference of said first and second reception signals being termed a raw detection signal, said raw detection signal having the same multiple fixed frequencies associated with said magnetic field;

sampling, using an analog-to-digital converter, said raw detection signal to produce digital samples representative thereof; and

producing a coin signature representing amplitudes of respective multiple fixed frequencies for said raw detection signal by application of a Fast Fourier Transform (FFT) to said digital samples representing said raw detection signal.

32. The sensor assembly of claim 31, wherein said coin signature includes a first pair of coin signature values representing the amplitude of two phase angles of a low-frequency component of said multiple fixed frequencies and a second pair of coin signature values representing the amplitude of two phase angles of a high-frequency component of said multiple fixed frequencies.

33. The sensor assembly of claim 32, wherein said two phase angles of said low-frequency component are about 90 degrees apart and said two phase angles of said high-frequency component are about 90 degrees apart.

34. The sensor assembly of claim 32, wherein said two phase angles of said low-frequency component are the sine and cosine positions of said low-frequency component and said two phase angles of said high-frequency component are the sine and cosine positions of said high-frequency component.

35. The sensor assembly of claim 31, further comprising amplifying said raw detection signal prior to sampling using said analog-to-digital converter.

36. The sensor assembly of claim 31, further comprising peak detecting to detect the approximate center of a coin passing proximate said two reception coils and storing the coin signature corresponding to said approximate center.

37. The sensor assembly of claim 31, further comprising adjusting said coin signature for at least one anomaly and storing an adjusted coin signature based on said coin signature when said at least one anomaly is present.

38. The sensor assembly of claim 31, further comprising learning a new set of coin signatures by application of said FFT and storing at least one new coin signature window based on said learning.

39. A sensor assembly for determining an authenticity of coins, comprising:

a transmission coil configured to produce a magnetic field over a coin path responsive to a composite signal representing the combination of fixed high-frequency signals and fixed low-frequency signals, said magnetic field coupling to said coins to induce eddy currents within said coin;

two reception coils configured to detect respective first and second reception signals corresponding to said eddy currents, the voltage difference of said first and second reception signals being termed a raw detection signal, wherein said raw detection signal has the same combination of fixed high-frequency signals and fixed low-frequency signals as said composite signal;

analog-to-digital converter circuitry having an input that receives said raw detection signal and an output that produces digital samples representative of said raw detection signal; and

logic circuitry coupled to said two reception coils and configured to produce a coin signature representing amplitudes of respective low- and high-frequency components of said raw detection signal by applying a Fast Fourier Transform (FFT) algorithm on said digital samples.