IP Library Granted Patent US 8,983,677
Granted Patent B2
US 8,983,677 · App. 12/510,129 · Granted Mar 17, 2015

Acoustic fingerprinting of mechanical devices

Inventors: George L. Wright (Corrales, NM); Mark A. Wright (Albuquerque, NM)
Assignee: Honeywell International Inc.
H04B11/00
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Quick Facts
Patent No.
US 8,983,677
App. No.
12/510,129
Granted
Mar 17, 2015
Kind
B2
Abstract

A method and device are presented for identifying machines, such as vehicles, based on acoustic machine signatures. An acoustic sensor generates machine-acoustic data about the machine. A machine-signature identifier receives the machine-acoustic data, determines a machine signature from the machine-acoustic data, and identifies the machine based on the machine signature. A machine-signature database, configured to store multiple machine signatures and/or machine-signature templates, may receive and process queries about machine signatures for machine identification. The machine-signature identifier may generate and send an instruction based on the identified machine. The instruction may instruct application of electronic countermeasures or may permit a vehicle to enter a secured area. An acoustic modulator may generate the machine-acoustic data to act as a machine signature. The acoustic modulator may generate the machine signature using an ultrasonic carrier.

Claims (38)

1. A method, comprising:

receiving machine-acoustic data from one or more acoustic sensors;

determining, with an acoustic-signature identifier, a machine signature based on the machine-acoustic data, wherein the machine signature is associated with only one individual machine of a plurality of machines;

performing, with the acoustic-signature identifier, a complete identification of the individual machine based on the machine signature, wherein performing the complete identification comprises identifying the only one individual machine based on the machine signature; and

sending an instruction from the acoustic-signature identifier based on identifying the individual machine.

2. The method of claim 1 , wherein performing a complete identification of the individual machine comprises identifying the machine signature among a plurality of machine signatures, wherein the plurality of machine signatures are stored in a database on a computing device, and wherein each machine signature of the plurality of machine signatures is associated with a respective individual machine.

3. The method of claim 2 , wherein sending the instruction comprises sending the instruction responsive to identifying the machine signature among the plurality of machine.

4. The method of claim 1 , wherein the instruction comprises an instruction to apply a countermeasure to the individual machine.

5. The method of claim 1 , wherein the machine-acoustic data comprises audio data of the individual machine in operation.

6. The method of claim 1 , wherein the machine-acoustic data comprises modulated acoustic data generated by an acoustic modulator.

7. A system comprising:

a communication interface; and

an acoustic-signature identifier configure to:

received machine-acoustic data from one or more acoustic sensors,

determine a machine signature based on the machine-acoustic data, wherein the machine signature is associated with only one individual machine of a plurality of machines,

perform a complete identification of the individual machine based on the machine signature by at least identifying the only one individual machine based on the machine signature, and

send an instruction, via the communication interface, based on identifying the individual machine.

8. The system of claim 7 , further comprising data storage storing a machine-signature database, wherein the machine-signature database stores a plurality of machine signatures, wherein each machine signature of the plurality of machine signatures is associated with a respective individual machine in the machine-signature database, and wherein the acoustic-signature identifier is configured to perform a complete identification of the individual machine by at least selecting the machine signature from among the plurality of machine signatures.

9. The method of claim 4 , wherein the countermeasure comprises an electronic countermeasure applied to the individual machine, the electronic countermeasure being configured to stop the individual machine.

10. The method of claim 4 , wherein the instruction to apply a countermeasure to the individual machine causes a plurality of countermeasures to be applied to the individual machine in a sequential order.

11. The method of claim 1 , wherein performing a complete identification of the individual machine based on the machine signature comprises:

updating stored machine-acoustic data via a machine-aging model, the stored machine-acoustic data being associated with the individual machine; and

comparing the machine signature to the updated machine-acoustic data.

12. The system of claim 7 , wherein the machine-acoustic data comprises modulated acoustic data generated by an acoustic modulator.

13. The system of claim 12 , wherein the modulated acoustic data utilizes an ultra frequency as a carrier.

14. The system of claim 7 , wherein the instruction comprises an instruction to apply a countermeasure to the individual machine.

15. The system of claim 7 , wherein the machine signature comprises a delta signature generated based on updated-machine-acoustic data for the individual machine.

16. The system of claim 7 , further comprising data storage that stores old machine-acoustic data, wherein the acoustic-signature identifier is configured to perform a complete identification of the individual machine based on the machine signature by at least:

updating the old machine-acoustic data via a machine-aging model, the stored machine-acoustic data being associated with the individual machine; and

comparing the machine signature to the updated machine-acoustic data.

17. The system of claim 8 , wherein the data storage further stores identification information for each respective machine associated with a machine signature of the plurality of machine signatures, the identification information including at least one of manufacturer information, model information, age of the respective machine, size of the respective machine, shape of the respective machine, color of the respective machine, an identification number associated with the respective machine, a licensing information, a serial number, or a part number.

18. The method of claim 1 , wherein the instruction comprises one of:

an instruction to permit the individual machine access into a secured area, or

an instruction to deny the individual machine access into the secured area.

19. The system of claim 7 , wherein the instruction comprises one of:

an instruction to permit the individual machine access into a secured area, or

an instruction to deny the individual machine access into the secured.

20. The system of claim 8 , wherein the acoustic-signature identifier is configured to determine at least one of an identification number associated with the individual machine, or a serial number associated with the individual machine based on the machine signature.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 27, 2009
From: WRIGHT, GEORGE L.; WRIGHT, MARK A.
To: HONEYWELL INTERNATIONAL INC.
Reel/Frame 023011/0169 →
Continuity (2)
Continuation In Part 12243615 · Oct 1, 2008
Related Publication 20100080086A1 · Apr 1, 2010