System and method for immigration tracking and intelligence

• US 20060020459A1
• Filed: 03/28/2005
• Published: 01/26/2006
• Est. Priority Date: 07/21/2004
• Status: Active Grant

• Current Assignee: John A. Carter, Kurt Schuder, Ronald D. Deberry
• Original Assignee: John A. Carter, Kurt Schuder, Ronald D. Deberry
• Inventors: DeBerry, Ronald D., Carter, John A., Schuder, Kurt
• Granted Patent: US 7,590,232 B2
• Time in Patent Office: Days
• US Class Current: 704/246
• CPC Class Codes: G07C 9/37 using biometric data, e.g. fingerprints, iris scans or voice recognition
• CPC Class Codes: G10L 17/00 Speaker identification or verification techniques
• CPC Class Codes: H04M 2201/41 using speaker recognition
• CPC Class Codes: H04M 3/2281 Call monitoring, e.g. for law enforcement purposes; Call tracing; Detection or prevention of malicious calls

Abstract

A client identity verification system and method which includes receiving a spoken voice sample from a client. Identifying the match of the client, verifying client information, changing parameters in a conditional database and communicating alerts based on the results. The method also includes matching the received spoken voice sample against a stored voiceprint and voiceprint template of random phrases. The method then also includes verifying the phone number of the client.

Claims

1. A system for verifying client identity comprising:

means for receiving a spoken voice sample from a client;

means for determining a phone number of the client;

means for matching the spoken voice sample against a stored voiceprint template of random phrases; and

means for verifying the phone number of the client.

2. The system of claim 1 further comprising means for identifying a client location.

3. The system of claim 1 wherein the means for receiving a spoken voice sample from a client is a computer system.

4. The system of claim 1 wherein the means for determining a phone number of the client is an Automatic Number Identification (ANI) system.

5. A system for verification and location tracking of a client comprising:

means for receiving a spoken voice sample from the client;

means for determining a phone number of the client;

means for matching the spoken voice sample against a stored voiceprint template with a voice verification process; and

means for recording in a client record the phone number and a result of the voice verification process.

6. The system of claim 5 further comprising means for identifying a client location based upon the phone number.

7. The system of claim 6 further comprising means for triggering an alert based upon the location of the client.

8. The system of claim 6 further comprising means for triggering an alert based upon a call from a restricted area.

9. A method for verifying client identity comprising the steps of:

receiving from a client a spoken voice sample;

determining from the client a caller phone number;

matching the spoken voice sample against a stored voiceprint template of random phrases; and

verifying the phone number of the client.

10. The method of claim 9 further comprising notifying the client of a callback requirement.

11. The method of claim 10 further comprising alerting a case worker of a missed callback requirement.

12. The method of claim 10 further comprising logging in a client record a client callback time.

13. The method of claim 10 wherein notifying the client of a callback requirement comprises paging the client.

14. The method of claim 9 further comprising identifying from the phone number a present location of the client.

15. The method of claim 9 further comprising prompting the client for a PIN number.

16. The method of claim 15 further comprising locating a client record based on the PIN number.

17. The method of claim 9 wherein determining a phone number of the client comprises of utilizing an automatic number identification (ANI).

18. The method of claim 9 wherein matching the spoken voice sample further comprises:

comparing a first spoken phrase to the stored voiceprint template of random phrases; and

comparing a second spoken phrase to the stored voiceprint of random phrases.

19. A method for verification and location tracking of a client comprising the steps of:

prompting from the client a random phrase;

receiving a spoken voice sample from the client;

determining a phone number of the client;

matching the spoken voice sample against a stored voiceprint template with a voice verification process; and

recording in a client record the phone number and the voice verification process.

20. The method of claim 19 further comprising alerting a case worker based upon the client record and a notification criteria.

21. The method of claim 19 further comprising triggering an alert based upon a change in geographic location of the client.

22. The method of claim 19 further comprising identifying a client location.

23. The method of claim 22 further comprising triggering an alert based upon the client location and an allowed calling location.

24. A method for alerting a case worker based on adaptable conditions and location tracking of a client comprising:

retrieving a control parameter from a computer memory;

retrieving client information from a client record;

altering the client information based on the control parameter; and

issuing an alert if the altered client information matches an alert rule.

25. The method of claim 24 wherein alert rule comprises:

Comparing a number of missed callback to a callback data parameter in the memory.

26. The method of claim 24 wherein the alert rule comprises:

Comparing a location of the client to an allowed locations parameter in the memory.

27. The method of claim 24 wherein the control parameter is a threat level.

28. The method of claim 27 wherein the threat level corresponds to the United States Homeland Security Advisory System threat level.

29. The method of claim 24 wherein the alert rule comprises:

identifying geographic anomalies;

identifying at least one high risk client; and

comparing one high risk client to the geographic anomalies.

30. The method of claim 29 wherein geographic anomalies include:

abnormal location movement activity of the client;

client entry into restricted locations; and

at least one high risk client in a specified location.

31. A system for tracking an individual comprising:

a telephone; and

a computer system connecting to the telephone,

the computer system further comprising;

a telephony device;

a database;

a speech synthesizer;

a voice comparator; and

a phone location means for identifying the location of the phone;

the computer system programmed to carry out the steps of;

receiving a call from the telephone;

identifying a location of the telephone with the phone location means;

identifying a voice sample spoken on the telephone;

identifying a word spoken on the telephone;

comparing the location with a permitted location stored in the database;

reporting an alert when the location is outside the permitted location;

comparing the voice sample with a permitted voice pattern stored in the database;

reporting an alert when the voice sample does not match the permitted voice pattern;

comparing the word spoken to a permitted word stored in the database; and

reporting an alert when the word spoken does not match the permitted word.

32. The method of claim 31 including the additional step of enrolling all individuals before the step of identifying.

33. The method of claim 31 wherein the database is a conditionally related database.

34. The method of claim 33 wherein a plurality of fields within the database are conditionally related.

35. The method of claim 34 wherein the fields include

a risk factor;

and

a threat level factor.

36. The method of claim 33 wherein the database is related through a set of rules.

37. The method of claim 36 wherein the rules include

a threat level conditional check;

a geographic anomaly conditional check; and

a call history conditional check.

38. The method of claim 37 further including an alert module programmed to respond to the threat level conditional check, the geographic anomaly conditional check and the call history conditional check.

39. The method of claim 31 wherein the step of comparing the location includes calculating threat of change in location.

40. The method of claim 31 further comprising the step of issuing an alert based on the rate of change in location.

41. The method of claim 31 wherein the step of comparing further comprises calculating the rate of acceleration in the rate or change in location.

42. The method of claim 31 further comprising the step of issuing an alert based on the rate of acceleration.

43. The method of claim 31 wherein the speech synthesizer communicates a message to the telephone.

44. The method of claim 31 wherein the speech synthesizer communicates a voice template to the telephone.

45. The method of claim 31 wherein the computer system is programmed to recursively check the client record database and alter a first parameter in response to a change in a second parameter.

46. The method of claim 45 wherein the first parameter is a numerical value.

47. The method of claim 45 wherein the first parameter is a list.

48. The method of claim 31 wherein the computer system comprises a computer network.

49. The method of claim 45 wherein the client record database is a distributed database distributed on the network.

50. The method of claim 31 further comprising the step of generating a signal sent to the client indicating a callback requirement before the step of receiving.

51. The method of claim 31 wherein the step of identifying a location includes identifying an altitude.

52. A system for monitoring the location of an individual comprising:

a computer system including a memory and a database;

a first peripheral alert device operationally connected to the computer system;

a second peripheral alert device operationally connected to the computer system;

a peripheral speech synthesizer operationally connected to the computer system;

a telephone location means, for identifying the location of a telephone, operationally connected to the computer system;

a software system, resident in the memory, for coordinating the functions of the computer system comprising;

an enrollment module for accepting data related to the individual and a callback schedule;

a callback requests module for monitoring the callback schedule and sending a callback request to the first peripheral alert device;

a database control module for monitoring the database;

a callback confirmation module for confirming a callback;

a location verification module for verifying the location of the individual;

a speech recognition module for verifying the voice of the individual; and

an alert module for sending alerts to the second alert module upon occurrence of an alert condition.

53. The system of claim 52 wherein the first alert device is a pager.

54. The system of claim 52 wherein the first alert device is a telephone.

55. The system of claim 52 wherein the first alert device is an e-mail transmission.

56. The system of claim 52 wherein the second alert device is a pager.

57. The system of claim 52 wherein the second alert device is a telephone.

58. The system of claim 52 wherein the second alert device is an e-mail transmission.

59. The system of claim 52 wherein the telephone location means comprises:

a phone number identification means, for providing a phone number and an area code of the telephone; and

a look up table in the memory containing the area code and an associated area code location.

60. The system of claim 52 wherein the telephone location means comprises:

a GPS enabled portable telephone; and

a GPS interpretation module, in the memory, for interpreting GPS data from the portable telephone.

61. The system of claim 52 further comprising an altitude verification means operationally connected to the computer system for identifying the altitude of the individual.

62. The system of claim 52 wherein the data related to the individual comprises physical identifying data.

63. The system of claim 52 wherein the data related to the individual comprises risk level data.

64. The system of claim 52 wherein the data related to the individual comprises threat level data.

65. The system of claim 52 wherein the data related to the individual comprises geographic location data.

66. The system of claim 52 wherein the data related to the individual comprises alert conditions.

67. The system of claim 52 wherein the data related to the individual comprises a personal identification number.

68. The system of claim 52 wherein the data related to the individual comprises data related to the first peripheral alert device.

69. The system of claim 52 wherein the data related to the individual comprises data related to the second peripheral alert device.

70. The system of claim 52 wherein the callback schedule is randomized by the callback requests module.

71. The system of claim 52 wherein the callback schedule is manually set.

72. The system of claim 52 wherein the callback schedule is organized by the callback requests module.

73. The system of claim 52 wherein the callback request includes a return call phone number.

74. The system of claim 52 wherein the callback request includes a list of words to be spoken by the individual.

75. The system of claim 52 wherein the callback request includes information to be entered by the individual.

76. The system of claim 52 wherein the callback request includes a return call time.

77. The system of claim 52 wherein the callback request includes a return call frequency.

78. The system of claim 52 wherein the database control module includes conditional relationships.

79. The system of claim 52 wherein the database control module coordinates movement of data on a network.

80. The system of claim 52 wherein the database control module coordinates movement of data over an internet.

81. The system of claim 52 wherein the callback requests module monitors a telephone call from the individual.

82. The system of claim 81 wherein an arrival time of the telephone call is monitored.

83. The system of claim 52 wherein the speech recognition module identifies a frequency pattern of the voice of the individual.

84. The system of claim 52 wherein speech recognition module identifies a series of words in the voice of the individual.

85. The system of claim 52 wherein the alert condition includes failure of confirmation of a callback.

86. The system of claim 52 wherein the alert condition includes failure of confirmation of a voice verification.

87. The system of claim 52 wherein the alert condition includes failure of confirmation of a location.

88. The system of claim 52 wherein the alert condition includes failure of confirmation of the information.

89. The system of claim 52 wherein the alert condition includes an unacceptable rate of change of location of the individual.

90. The system of claim 52 wherein the alert condition includes an unacceptable acceleration of change of location of the individual.

91. The system of claim 52 wherein the database control module updates data in the database as a result of a change in a conditional parameter.

92. The system of claim 91 wherein the conditional parameter is a risk level parameter.

93. The system of claim 91 wherein the conditional parameter is a terror level parameter.

94. The system of claim 91 wherein the conditional parameter is a geographic anomaly parameter.

95. The system of claim 91 wherein the conditional parameter is a call history parameter.

96. The system of claim 91 wherein the conditional parameter is a location of the individual.

97. A database structure comprising:

a callback schedule list;

a client relationship list;

a prohibited location list;

a terror level control parameter;

a geographic anomaly control parameter;

a callback history control parameter; and

where at least one list is modified by a change in at least one parameter according to an iteratively applied rule.

98. The database structure of claim 97 wherein the iteratively applied rule comprises modifying data in the prohibited location list upon a change in the terror level control parameter.

99. The database structure of claim 97 wherein the iteratively applied rule comprises modifying data in the callback schedule list upon a change in the terror level control parameter.

100. The database structure of claim 97 wherein the iteratively applied rule comprises modifying data in the client relationship list upon a change in the terror level control parameter.

101. The database structure of claim 97 wherein the iteratively applied rule comprises modifying data in the prohibited location list upon a change in the geographic anomaly control parameter.

102. The database structure of claim 97 wherein the iteratively applied rule comprises modifying data in the callback schedule list upon a change in the geographic anomaly control panel.

103. The database structure of claim 97 wherein the iteratively applied rule comprises modifying data in the client relationship list upon a change in the geographic anomaly control parameter.

104. The database structure of claim 97 wherein the iteratively applied rule comprises modifying data in the prohibited location list upon a change in the callback history control parameter.

105. The database structure of claim 97 wherein the iteratively applied rule comprises modifying data in the callback schedule list upon a change in the callback history control parameter.

106. The database structure of claim 97 wherein the iteratively applied rule comprises modifying data in the client relationship list upon a change in the callback history control parameter.

107. A database structure of claim 97 further comprising:

sending an alert upon a change in the lists.

108. A method for monitoring an individual comprising:

recording identifying data about the individual in a computer database;

scheduling times for contacting the individual;

contacting the individual and communicating a request for information and a request for a callback according to the schedule;

monitoring a callback channel for a callback;

verifying the callback;

monitoring the callback channel for the information;

verifying the information;

sending a first alert upon a failure of verifying the callback;

sending a second alert upon a failure of verifying the information; and

modifying the identifying data upon a change in a control parameter in the computer database.

109. The method of claim 108 wherein the identifying data includes personal identification information.

110. The method of claim 108 wherein the identifying data includes geographic location data.

111. The method of claim 108 wherein the identifying data includes risk level data.

112. The method of claim 108 wherein the identifying data includes family relationship information.

113. The method of claim 108 wherein the identifying data includes social security numbers.

114. The method of claim 108 wherein the control parameter includes a threat level control parameter.

115. The method of claim 108 wherein the control parameter includes a geographic anomaly control parameter.

116. The method of claim 108 wherein the control parameter includes a history comparison control parameter.

117. The method of claim 108 wherein the step of contacting includes sending a page to the individual.

118. The method of claim 108 wherein the information includes a voice template.

119. The method of claim 108 wherein the information includes a location of the individual.

120. The method of claim 108 wherein the step of monitoring the callback channel for information includes monitoring a telephone line.

121. The method of claim 108 wherein the step of monitoring the callback channel for information includes monitoring ANI data.

122. The method of claim 108 wherein the step of monitoring the callback channel for information includes monitoring GPS data.

123. The method of claim 108 wherein the database is distributed.

124. The method of claim 108 including the further step of:

recording the failure of verifying the callback in the computer database.

125. The method of claim 108 incluidng the further step of:

recording the failure of verifying the information in the computer database.

126. A method of verifying the location and identity of a client comprising:

receiving a call from a client;

identifying the location of the client using GPS; and

verifying a voice sample received from the client on the call.

127. The method of claim 126 wherein the step of identifying includes identifying the location of the client using assisted GPS.

128. The method of claim 126 including the further step of verifying the telephone number from which the call was received.

129. The method of claim 126 including the further step of recording the verification of the voice sample in a database.

130. The method of claim 126 including the further step of tracking a path of the client by storing the location of the client at least two times.

131. The method of claim 130 including the further step of superimposing the path of the client on a geographic map.