Sonic identification system and method
First Claim
1. A sonic identification system, comprising:
- a) an emitter, configured to broadcast ultra-sonic energy toward a subject;
b) a receiver, configured to receive and detect the ultra-sonic energy reflected off of the subject, and to develop signals representing characteristics of the reflected ultra-sonic energy; and
c) a microprocessor, coupled to at least one of the emitter and receiver, including;
i) a pre-processor, configured to receive the signals from the receiver and to develop a new spectrogram of the subject comprising a plurality of said signals taken over a time interval;
ii) a memory, configured for containing records of spectrograms related to a plurality of known subjects; and
iii) a processor configured to analyze the new spectrogram using a pattern-matching algorithm, to identify invariant features of the new spectrogram, and to determine whether the identity of the subject of the new spectrogram is the same as the subject of any of the records of spectrograms stored in the memory.
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Accused Products
Abstract
A neural net sonic identification system includes an ultra-sonic emitter and receiver configured to detect characteristics of a subject by detecting reflections of the ultrasonic waves. The sonic reflections are processed by a neural network pattern recognition system that learns to recognize a particular subject and distinguish it from other subjects. The emitter/receiver is continuously optimized for phase, wavelength, spectral, and power frequencies, and the received sound “picture” is written-over the previously stored encrypted image data file for a particular individual, so as to continuously update the processor'"'"'s retained identification information. In one embodiment, the emitter/receiver comprises a solid-state multi-layer tunable array of piezoelectric emitters and receivers that can be selectively “aimed” in different directions without physically moving by independently varying the wavelength and power of the various emitters/receivers.
77 Citations
30 Claims
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1. A sonic identification system, comprising:
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a) an emitter, configured to broadcast ultra-sonic energy toward a subject;
b) a receiver, configured to receive and detect the ultra-sonic energy reflected off of the subject, and to develop signals representing characteristics of the reflected ultra-sonic energy; and
c) a microprocessor, coupled to at least one of the emitter and receiver, including;
i) a pre-processor, configured to receive the signals from the receiver and to develop a new spectrogram of the subject comprising a plurality of said signals taken over a time interval;
ii) a memory, configured for containing records of spectrograms related to a plurality of known subjects; and
iii) a processor configured to analyze the new spectrogram using a pattern-matching algorithm, to identify invariant features of the new spectrogram, and to determine whether the identity of the subject of the new spectrogram is the same as the subject of any of the records of spectrograms stored in the memory. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16)
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17. A sonic identification system, comprising:
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a) an array of ultra-sonic emitters and receivers, the emitters being configured to broadcast ultra-sonic energy toward a subject at a variety of frequencies within a frequency range over a time interval, and the receivers being configured to receive and detect ultra-sonic energy reflected off of the subject, and to develop signals representing characteristics of the reflected ultra-sonic energy; and
b) a microprocessor, having a memory, configured to;
i) receive the signals from the receiver;
ii) develop a new spectrogram of signals reflected from the subject over the time interval;
iii) compare the new spectrogram of the subject with other spectrographic information stored in memory, using a neural net pattern recognition algorithm, so as to determine a likelihood of correlation of the new spectrogram with the other spectrographic information;
iv) identify the subject as being identical to the subject of another spectrogram if the likelihood of correlation is above a selected threshold level; and
v) update the spectrographic information stored in memory by replacing the previously-stored spectrographic information related to the subject with the new spectrogram, thereby increasing the likelihood of future identification of the subject.
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18. A method of identifying characteristics of a subject, comprising the steps of:
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a. exposing a first subject to ultra-sonic energy;
b. receiving and detecting reflections of the ultra-sonic energy from the first subject;
c. producing a spectrogram representing the reflections over a time interval using a microprocessor having a memory containing a plurality of prior records of spectrographic information, each of the plurality of prior records being related to a specific subject;
d. comparing the spectrogram of the first subject to each of the records of spectrographic information contained in the memory using a pattern recognition algorithm, so as to determine a likelihood of correlation of the first spectrogram to any of the plurality of prior records;
e. identifying the first subject as being identical to the subject related to a prior record if the likelihood of correlation is above a selected threshold level; and
f. storing the spectrogram related to the first subject in memory for future comparison with other spectrograms. - View Dependent Claims (19, 20, 21, 22, 23, 24)
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25. A method for a user to actuate a device, comprising the steps of:
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a. exposing the user to ultra-sonic energy;
b. receiving and detecting reflections of the ultra-sonic energy from the user;
c. producing a new spectrogram representing the reflections over a time interval using a microprocessor having a memory containing a plurality of prior records of spectrographic information, each of the plurality of prior records being related to an authorized user of the device;
d. comparing the spectrogram of the user to each of the prior records of spectrographic information contained in the memory using a pattern recognition algorithm, so as to determine a likelihood of correlation of the new spectrogram to any of the plurality of prior records;
e. identifying the first subject as being an authorized user of the device if the likelihood of correlation is above a selected threshold level;
f. storing the new spectrogram in memory for future comparison with other spectrograms; and
g. actuating the device. - View Dependent Claims (26, 27, 28, 29, 30)
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Specification