Discovery of occurrence-data

• US 20060046711A1
• Filed: 07/30/2004
• Published: 03/02/2006
• Est. Priority Date: 07/30/2004
• Status: Active Grant

• Current Assignee: Alarm.com Inc. (Alarm.com Holdings, Inc.)
• Original Assignee: TriPlay Incorporated
• Inventors: Tegreene, Clarence T., Jung, Edward K.Y.
• Granted Patent: US 9,261,383 B2
• Time in Patent Office: Days
• US Class Current: 455/423
• CPC Class Codes: G01D 9/005 Solid-state data loggers
• CPC Class Codes: G06F 16/22 Indexing; Data structures therefor; Storage structures
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06N 3/08 Learning methods
• CPC Class Codes: G06N 5/02 Knowledge representation; Symbolic representation
• CPC Class Codes: G06N 5/047 Pattern matching networks; Rete networks
• CPC Class Codes: G08B 29/186 Fuzzy logic; neural networks
• CPC Class Codes: G08B 29/188 Data fusion; cooperative systems, e.g. voting among different detectors
• CPC Class Codes: H04L 67/12 specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
• CPC Class Codes: H04Q 2209/20 using a distributed architecture
• CPC Class Codes: H04Q 2209/40 using a wireless architecture
• CPC Class Codes: H04Q 9/00 Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom
• CPC Class Codes: H04W 4/38 for collecting sensor information
• CPC Class Codes: H04W 84/18 Self-organising networks, e.g. ad-hoc networks or sensor networks

Abstract

Methods, devices, and systems for discovery of electronic occurrence-data, including data protected by an information security measure. In an approach, an exemplary system includes data storage operable to store a plurality of instances of occurrence-data, each instance of the occurrence-data having a representative feature, a central computing device operable to communicate with the data storage, and instructions that cause a computing device to perform steps. The steps include receive from an input-selector an input selection corresponding to a target-occurrence having a representative feature, and select a pattern recognition criteria corresponding to the representative feature of the target-occurrence.

Claims

1. An occurrence-data retrieval system, comprising:

(a) a data storage operable to store a plurality of instances of occurrence-data, each instance of the occurrence-data having a representative feature;

(b) a central computing device operable to communicate with the data storage; and

(c) instructions that cause a computing device to perform steps including;

(i) receive from an input-selector an input selection corresponding to a target-occurrence having a representative feature;

(ii) select a pattern recognition criteria corresponding to the representative feature of the target-occurrence;

(iii) automatically search the plurality of instances of stored occurrence-data for data correlating to the target-occurrence using the selected pattern recognition criteria; and

(iv) provide an output indicative of a result of the automatic search.

2. The system of claim 1, wherein the input-selector includes a user.

3. The system of claim 1, wherein the input selector includes an automated system.

4. The system of claim 3, wherein the automated system includes a computing system.

5. The system of claim 4, wherein the computing system is located remotely from the central computing device.

6. The system of claim 1, wherein the pattern recognition criteria is automatically selected in response to input selection corresponding to the target-occurrence.

7. The system of claim 1, wherein the input selection further includes a selection of a representative feature of the target-occurrence.

8. The system of claim 7, wherein the representative feature includes a time period.

9. The system of claim 7, wherein the representative feature includes acoustic frequency components.

10. The system of claim 7, wherein the representative feature includes a frequency pattern.

11. The system of claim 10, wherein the frequency pattern includes at least one selected from a group consisting of a recognized word, a set of words, a breaking glass, a dog bark, a door opening, an alarm, a threshold acoustic level, and a voiceprint.

12. The system of claim 7, wherein the representative feature includes an electromagnetic pattern.

13. The system of claim 12, wherein the electromagnetic pattern includes at least one selected from a group consisting of a visible light, infrared light, ultraviolet light, and radar.

14. The system of claim 7, wherein the pattern recognition criteria is automatically selected in response to the selected representative feature.

15. The system of claim 14, wherein the automatic search instruction includes using the pattern recognition criteria selected in response to the inputted representative feature.

16. The system of claim 1, wherein the instruction to provide an output further includes provide an instance of the correlating occurrence-data.

17. The system of claim 16, wherein the correlating occurrence-data provided includes a segment of the correlating occurrence-data.

18. The system of claim 16, wherein the instruction to provide an output further includes provide a degraded representation of an instance of the correlating occurrence-data.

19. The system of claim 1, wherein the instruction to provide an output further includes provide an instance of non-correlating occurrence-data.

20. The system of claim 19, wherein the non-correlating occurrence-data provided includes a degraded representation of the non-correlating occurrence-data.

21. The system of claim 1, wherein the occurrence-data includes sensor data generated by a plurality of networked remote sensor devices.

22. The system of claim 1, wherein the computer instructions further include (v) protect the plurality of instances of occurrence-data stored in the data storage from unauthorized access.

23. The system of claim 1, wherein the data storage includes a digital data storage device.

24. The system of claim 1, wherein each instance of occurrence-data includes a data sequence.

25. The system of claim 24, wherein the data sequence includes a chronological data sequence.

26. The system of claim 1, wherein the data storage is operative to receive data from a plurality of sources.

27. The system of claim 26, wherein the data storage is operative to correlate sequences of data from the plurality of sources.

28. An occurrence-data retrieval system, comprising:

(a) a computing device operable to communicate with a data storage device, the data storage device operable to store a plurality of instances of occurrence-data from remote data storages, each instance of occurrence-data having a representative feature sensed respectively by a device associated with the remote data storage; and

(b) instructions, which when implemented in a computing device, cause the computing device to perform steps including;

(i) receive from an input-selector an input selection corresponding to a target-occurrence having a representative feature, a recipient selection, and a tendered access authorization;

(ii) in response to the tendered access authorization, determine if at least one of the input-selector and recipient have an access right;

(iii) automatically select a pattern recognition criteria corresponding to representative feature of the target-occurrence;

(iv) in response to the input selection corresponding to the target-occurrence, automatically search the plurality of instances of occurrence-data stored in the data storage device for data correlating to the target-occurrence using the selected pattern recognition criteria; and

(v) if at least one of the input-selector and recipient have an access right, provide an output indicative of a result of the automatic search to the recipient.

29. The system of claim 28, wherein the input-selector includes a user.

30. The system of claim 28, wherein the input-selector and the recipient are a same party.

31. The system of claim 28, wherein the recipient is a user.

32. The system of claim 28, wherein the information security measure is associated with the data storage device.

33. The system of claim 28, wherein the information security measure includes an application associated with the computing device.

34. The system of claim 28, wherein the data storage device includes at least one device selected from a group consisting of a local data storage device and a remote data storage device.

35. The system of claim 28, wherein the data storage device includes a portable digital data storage device.

36. The system of claim 28, wherein the instruction to provide an output indicative of a result includes provide the correlating occurrence-data to the recipient.

37. The system of claim 28, wherein the instructions further include, if neither the input-selector and recipient have an access right, not providing the correlating sensor data.

38. The system of claim 28, further including an information security measure that protects the plurality of instances of occurrence-data stored in the data storage device from unauthorized access.

39. The system of claim 38, wherein the information security access allows access to the sensor data upon receipt of a recognized data entry by the input-selector.

40. The system of claim 39, wherein the recognized data entry includes at least one selected from a group consisting of a password and a PIN.

41. The system of claim 38, wherein the information security access allows access to the sensor data upon receipt of a recognized biometric.

42. The system of claim 41, wherein the biometric includes at least one selected from a group consisting of a voice, finger, hand, face, and eye recognition.

43. The system of claim 28, wherein the instructions further include:

(c) receive a redaction selection and a tender of a redaction authorization;

(d) determine if a redaction right is possessed; and

(e) in response to the redaction selection and a determination that a redaction right is possessed, redact an instance of the plurality of instances of occurrence-data from the data storage device.

44. The system of claim 43, wherein the redaction selection is received from at least one of the input-selector and the recipient.

45. The system of claim 43, wherein the redacted instance of occurrence-data correlates to the target-occurrence representative feature.

46. The system of claim 43, wherein the redacted instance of occurrence-data does not correlate to the target-occurrence representative feature.

47. An occurrence-data retrieval system, comprising:

(a) a computing device operable to communicate with a data storage device, the data storage device operable to store a plurality of instances of occurrence-data from remote data storages, each instance of occurrence-data having a representative feature sensed respectively by a device associated with the remote data storage; and

(b) instructions that cause a computing device to perform steps including;

(i) receive from a redaction-selector a redaction selection corresponding to a target-occurrence having a representative feature, and a tender of a redaction authorization;

(ii) in response to the tendered redaction authorization, determine if the redaction-selector possess a redaction right;

(iii) automatically select a pattern recognition criteria corresponding to the representative feature of the target-occurrence;

(iv) automatically search the plurality of instances of occurrence-data stored in the data storage device for data correlating to the target-occurrence using the selected pattern recognition criteria; and

(v) if the redaction-selector possesses a redaction right, redact an instance of the plurality of instances of occurrence-data from the data storage device.

48. The system of claim 47, wherein the redacted instance of occurrence-data correlates to the target-occurrence representative feature.

49. The system of claim 47, wherein the redacted instance of occurrence-data does not correlate to the target-occurrence representative feature.

50. The system of claim 47, wherein the instructions include computer program instructions.

51. The system of claim 47, further including an information security measure that protects the plurality of instances of occurrence-data stored in the data storage device from unauthorized access.

52. The system of claim 47, wherein the instructions further include, if the redaction-selector does not posses a redaction right, not redacting the instance of the plurality of instances of occurrence-data from the data storage.

53. A method implemented in a computing device, the method comprising:

receiving an input selection from an input-selector, the input selection corresponding to a target-occurrence having a representative feature;

(b) selecting a pattern recognition criteria corresponding to the representative feature of the target-occurrence;

(c) in response to the input selection corresponding to the target-occurrence, automatically searching a plurality of instances of occurrence-data stored in a data storage device for data correlating to the target-occurrence representative feature using the selected pattern recognition criteria, each instance of the occurrence-data having a representative feature; and

(d) providing an output indicative of the search.

54. The method of claim 53, wherein the pattern recognition criteria is automatically selected in response to the target-occurrence.

55. The method of claim 53, wherein the input selection further includes selection of a representative feature of the target-occurrence.

56. The method of claim 55, wherein the pattern recognition criteria is automatically selected in response to the input-selector selected representative feature.

57. The method of claim 56, wherein the automatically searching step uses the pattern recognition criteria selected in response to the input-selector selected representative feature.

58. The method of claim 53, wherein the providing an output further includes providing an instance of the correlating occurrence-data.

59. The method of claim 58-, wherein the instance of correlating occurrence-data provided includes a degraded representation of the correlating occurrence-data.

60. The method of claim 58, wherein the instance of correlating occurrence-data provided includes all data associated with the correlating occurrence.

61. The method of claim 58, wherein the correlating occurrence-data provided includes a segment of the correlating occurrence-data.

62. The method of claim 53, wherein the providing an output further includes providing an instance of non-correlating occurrence-data.

63. The method of claim 62, wherein the instance of correlating occurrence-data provided includes a degraded representation of the non-correlating occurrence-data.

64. The method of claim 53, wherein the occurrence-data includes sensor data generated by a plurality of networked sensor devices.

65. A communication media containing computer instructions which, when run on a computing device, cause the computing device to perform the method of claim 53.

66. The communication media of claim 65, wherein the communication media is carried by a computer readable carrier.

67. A method implemented in a computing device, the method comprising:

receiving an input selection from an input-selector, the input selection corresponding to a target-occurrence having a representative feature;

(b) selecting a filter corresponding to the representative feature of the target-occurrence;

(c) using the selected filter, automatically filtering a plurality of instances of occurrence-data stored in a data set for data correlating to the target-occurrence representative feature, each instance of the occurrence-data having a representative feature; and

(d) providing an output responsive to the filtering.

68. The method of claim 67, wherein providing an output further includes providing an instance of occurrence-data correlating to a target-occurrence representative feature.

69. The method of claim 68, wherein the method further includes storing the instance of occurrence-data correlating to a target-occurrence representative feature.

70. The method of claim 67, wherein the providing an output further includes providing an instance of occurrence-data not correlating to a target-occurrence representative feature.

71. The method of claim 70, wherein the method further includes storing the instance of occurrence-data not correlating to a target-occurrence representative feature.

72. A method comprising:

(a) inputting a selection to a computing device corresponding to a target-occurrence having a representative feature;

(b) inputting a selection to the computing device corresponding to a plurality of instances of occurrence-data obtained from remote data storages, each instance of the occurrence-data having a representative feature sensed respectively by a device associated with the remote data storage;

(c) in response to the input selections, receiving from the computing device an instance of occurrence-data correlating to the target-occurrence.

73. The method of claim 72, wherein the plurality of instances of occurrence-data are stored in a data storage device local to the computing device.

74. The method of claim 72, wherein the received instance of occurrence-data includes a feature correlating to a target-occurrence representative feature automatically selected by the computing device.

75. The method of claim 72, wherein the input selection corresponding to the target-occurrence further includes selection of a representative feature of the target-occurrence.

76. The method of claim 75, wherein the received instance of occurrence-data includes an instance of occurrence-data having a feature correlating to the selected target-occurrence representative feature.

77. A method implemented in a computing device, the method comprising:

(a) receiving an input selection from an input-selector, the input selection corresponding to a target-occurrence having a representative feature, a recipient selection, and a tendered access authorization;

(b) in response to the tendered access authorization, determining if at least one of the input-selector and the recipient possess an access right to a plurality of instances of stored occurrence-data protected by an information security measure, each instance of occurrence-data originating from remote data storages, having a representative feature sensed respectively by a device associated with the remote data storage, and respectively correlating to an occurrence;

(c) automatically selecting a pattern recognition criteria corresponding to the representative feature of the target-occurrence;

(d) in response to the input selection corresponding to the target-occurrence, automatically searching the plurality of instances of stored occurrence-data for data correlating to the representative feature of the target-occurrence using the selected pattern recognition criteria; and

(e) if at least one of the input-selector and recipient posses an access right, providing an output indicative of a result of the automatic search to the recipient.

78. The method of claim 77, wherein the occurrence-data is stored in a data storage device.

79. The method of claim 78, wherein the data storage device includes a digital data storage device.

80. The method of claim 78, wherein the data storage device includes a portable data storage device.

81. The method of claim 78, wherein the information security measure is associated with the data storage device.

82. The method of claim 77, wherein the information security measure is associated with the computing device.

83. The method of claim 77, wherein the input-selector includes a user.

84. The method of claim 77, wherein the input-selector and the recipient are a same party.

85. The method of claim 77, wherein the recipient is a user.

86. The method of claim 77, wherein, if occurrence-data correlating to the target-occurrence representative feature is found, and if at least one of the input-selector and recipient posses an access right, provide the correlating occurrence-data to the recipient.

87. The method of claim 86, wherein the step of providing an output indicative of a result of the automatic search further includes providing a tentative target-occurrence identifier.

88. The method of claim 87, wherein the method further comprises:

(f) receiving another input-selection corresponding to the tentative target-occurrence identifier; and

(g) providing correlating occurrence-data in response to the another input-selection.

89. The method of claim 77, wherein the step of providing an output indicative of a result of the automatic search further includes providing a degraded representation of an instance of the correlating occurrence-data.

90. The method of claim 89, wherein the method further comprises:

(f) receiving another input-selection corresponding to the degraded representation; and

(g) providing correlating occurrence-data in response to the another input-selection.

91. The method of claim 77, wherein the providing an output further includes providing a rank for at least two instances of the correlating occurrence-data in a hierarchy of the found correlating occurrence-data.

92. The method of claim 77, wherein the method further comprises:

(f) receiving a redaction selection from a redaction input-selector and a tendered redaction authorization;

(g) determining that at least one of the redaction input-selector and recipient possess a redaction right, and

(h) in response to the redaction selection and the determination that at least one of the redaction input-selector and the recipient possess the redaction right, redacting an instance of the plurality of instances of occurrence-data from the stored occurrence-data.

93. The method of claim 92, wherein the redacted instance of occurrence-data correlates to the target-occurrence representative feature.

94. The method of claim 92, wherein the redacted instance of occurrence-data does not correlate to the target-occurrence representative feature.

95. The method of claim 77, wherein the data storage device includes at least one selected from a group consisting of a local data storage device and a remote data storage device.

96. A communication media containing computer instructions which, when run on a computing device, cause the computing device to perform the method of claim 77.

97. The communication media of claim 96, wherein the communication media is carried by a computer readable carrier.

98. An occurrence-data retrieval system, comprising:

(a) a computing device operable to communicate with a data storage device, the data storage device operable to store a plurality of instances of occurrence-data from remote data storages, each instance of occurrence-data having a representative feature sensed respectively by a device associated with the remote data storage; and

(b) instructions, which when implemented in a computing device, cause the computing device to perform steps, including;

(i) receive a redaction selection corresponding to a target-occurrence having a representative feature, and a tender of a redaction authorization;

(ii) in response to the tendered redaction authorization, determine if the tendered redaction authorization allows a redaction right;

(iii) automatically select a pattern recognition criteria corresponding to the representative feature of the target-occurrence;

(iv) in response to the redaction selection corresponding to the target-occurrence, automatically search the plurality of instances of occurrence-data stored in the data storage device for data correlating to the target-occurrence using the selected pattern recognition criteria; and

(v) if the redaction right is allowed, redact an instance of the plurality of instances of occurrence-data from the data storage device.

99. The system of claim 98, wherein the redacted instance of occurrence-data correlates to the target-occurrence representative feature.

100. The system of claim 98, wherein the redacted instance of occurrence-data does not correlate to the target-occurrence representative feature.

101. The system of claim 98, wherein the instructions further include, if the tendered redaction authorization does not allow a redaction, not redacting the instance of the plurality of instances of occurrence-data from the data storage device.

102. The system of claim 98, further including an information security measure that protects the plurality of instances of occurrence-data stored in the data storage device from unauthorized access.

103. A method comprising:

(a) inputting a selection to a computing device corresponding to a target-occurrence having a representative feature, a recipient selection, and a tendered access authorization;

(b) inputting a selection to the computing device corresponding to a plurality of instances of stored occurrence-data protected by an information security measure, each instance of occurrence-data originating from remote data storages, having a representative feature sensed respectively by a device associated with the remote data storage, and respectively correlating to an occurrence; and

(c) if the tendered access authorization establishes an access right, receiving an output indicative of a search of the plurality of instances of stored occurrence-data for data correlating to the target-occurrence.

104. The method of claim 103, wherein the data correlating to the target-occurrence is determined by a pattern recognition criteria automatically selected in response to the target-occurrence.

105. The method of claim 103, wherein the plurality of instances of occurrence-data are stored in a data storage device local to the computing device.

106. The method of claim 103, wherein the method further comprises:

(d) inputting a redaction selection, and tendering a redaction authorization;

(e) determining that at least one of the input-selector and recipient possess a redaction right, and

(f) if the tendered access authorization establishes a redaction right, redacting at least one instance of the plurality of instances of occurrence-data from the stored occurrence-data.

107. The method of claim 106, wherein the redacted instance of occurrence-data correlates to the target-occurrence representative feature.

108. The method of claim 106, wherein the redacted instance of occurrence-data does not correlate to the target-occurrence representative feature.