METHODS AND SYSTEMS FOR SECURITY TRACKING AND GENERATING ALERTS

• US 20180189913A1
• Filed: 06/16/2017
• Published: 07/05/2018
• Est. Priority Date: 12/31/2016
• Status: Active Grant

• Current Assignee: AVA Information Systems GmbH
• Original Assignee: BLOCKpeek GmbH
• Granted Patent: US 10,810,695 B2
• Time in Patent Office: Days
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06Q 40/08 Insurance
• CPC Class Codes: G06Q 50/26 Government or public services business processes related to the transportation industry G06Q50/40
• CPC Class Codes: G06Q 50/265 Personal security, identity or safety
• CPC Class Codes: H04W 4/021 Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
• CPC Class Codes: H04W 4/023 using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds
• CPC Class Codes: H04W 4/029 Location-based management or tracking services
• CPC Class Codes: H04W 4/90 Services for handling of emergency or hazardous situations, e.g. earthquake and tsunami warning systems [ETWS]

Abstract

A computerized method for monitoring, analyzing, normalizing, applying, predicting, etc., various conditions. The method may comprise receiving data from a source over a channel, generating a report based on the data. The report may contain information associated with one or more events assembled in a standardized format responsive to determining the report corresponds to a first existing incident. The method may include supplementing an existing incident with the information of the report, the existing incident being one of a plurality of existing incidents stored in a database and including information corresponding to one or more events at a specified location and a specified time. The method may also include generating a location-score at a specified location and/or a safety-score for an individual, object, and/or asset at the specified location.

Claims

1. A non-transitory storage medium having stored thereon logic, the logic being executable by one or more processors to perform operations including:

analyze data received from a first source;

generate a report based on the data, the report containing event information associated with at least one event occurring at a first location, the event information assembled in a standardized format;

access stored information in a database to determine whether (1) the report corresponds to a known incident, or (2) the report corresponds to a new incident;

responsive to determining the report corresponds to a known incident, determine whether the report includes new information regarding the known incident and responsive to determining the report includes new information regarding the known incident, supplement existing incident information in the database that corresponds to the known incident with the new information regarding the known incident to generate updated existing incident information;

responsive to determining the report corresponds to a new incident, generate new incident information regarding the new incident for storage in the database; and

responsive to (i) supplementing the stored information or (ii) generating the new incident information, generate a location-score for the first location based at least in part on the updated existing incident information or the new incident information.

2. The storage medium of claim 1, wherein the logic is also executable by the one or more processors to perform operations including to generate an alert to a user that includes the location-score or is indicative of the location-score.

3. The storage medium of claim 1, wherein the known incident includes multiple events, wherein each event of the multiple events occurred or is occurring within a narrow-range location encompassing the first location, and wherein generating the location-score includes performing an analysis on information regarding the multiple events, the analysis being at least one of a rules-based analysis or a machine-learning analysis.

4. The storage medium of claim 1, wherein the database includes information regarding multiple incidents that have occurred or are occurring within either a narrow-range location or a broad-range location encompassing the first location, wherein the multiple incidents include the first incident, and wherein generating the location-score includes performing an analysis on the information regarding the multiple incidents, the analysis being at least one of a rules-based analysis or a machine-learning analysis.

5. The storage medium of claim 1, wherein the location-score is an updated location-score that is updated from a previous location-score for the first location.

6. The storage medium of claim 1, wherein the data is received from the first source over a channel, and wherein the channel has been assigned a trust score that is associated with the data.

7. The storage medium of claim 1, wherein the logic is also executable by the one or more processors to perform operations including:

analyze additional data received from a second source;

generate a second report based on the additional data, the second report containing additional event information associated with at least one event that occurred or is occurring at the first location, the additional event information assembled in the standardized format;

access the updated existing incident information in the database;

responsive to determining the second report corresponds to the first incident and that the report includes additional new information regarding the first incident, supplement the updated existing incident information with the additional new information; and

generate an updated location-score for the first location based at least in part on the updated existing incident information after it has been supplemented with the additional new information regarding the first incident.

8. A computerized method for generating a location-score, the method comprising:

receiving data from a first source;

generating a report based on the data, the report containing event information associated with at least one event occurring at a first location, the event information assembled in a standardized format;

accessing stored information in a database to determine whether (1) the report corresponds to a known incident, or (2) the report corresponds to a new incident;

responsive to determining the report corresponds to a known incident, determining whether the report includes new information regarding the known incident and responsive to determining the report includes new information regarding the known incident, supplementing existing incident information in the database that corresponds to the known incident with the new information regarding the known incident to generate updated existing incident information;

responsive to determining the report corresponds to a new incident, generating new incident information regarding the new incident for storage in the database; and

responsive to supplementing the stored information or responsive to generating the new incident information, generating a location-score for the first location based at least in part on the updated existing incident information or the new incident information.

9. The computerized method of claim 8, further comprising generating an alert for transmission to a user that includes the location-score or is indicative of the location-score.

10. The computerized method of claim 8, wherein the known incident includes multiple events, wherein each event of the multiple events occurred or is occurring within a narrow-range location encompassing the first location, and wherein generating the location-score includes performing an analysis on information regarding the multiple events, the analysis being at least one of a rules-based analysis or a machine-learning analysis.

11. The computerized method of claim 8, wherein the database includes information regarding multiple incidents that have occurred or are occurring within either a narrow-range location or a broad-range location encompassing the first location, wherein the multiple incidents include the first incident, and wherein generating the location-score includes performing an analysis on the information regarding the multiple incidents, the analysis being at least one of a rules-based analysis or a machine-learning analysis.

12. The computerized method of claim 8, wherein the location-score is an updated location-score that is updated from a previous location-score for the first location.

13. The computerized method of claim 8, wherein the data is received from the first source over a channel, and wherein the channel has been assigned a trust score that is associated with the data.

14. The computerized method of claim 8, further comprising:

analyzing additional data received from a second source;

generating a second report based on the additional data, the second report containing additional event information associated with at least one event occurring at the first location, the additional event information assembled in the standardized format;

accessing the updated existing incident information in the database;

responsive to determining the second report corresponds to the first incident and that the report includes additional new information regarding the first incident, supplementing the updated existing incident information with the additional new information; and

generating an updated location-score for the first location based at least in part on the updated existing incident information after it has been supplemented with the additional new information regarding the first incident.

15. A computerized method for evaluating how safe a user is, the method comprising:

receiving a trigger to generate a location-score, the trigger including an indication that the user is at a location at a time;

accessing stored information in a database, wherein the stored information relates to one or more incidents within a predefined area including the location;

performing an analysis on the stored information to generate the location-score for the location, the location-score providing an indication of how safe the location is based at least in part on the stored information relating to the one or more incidents; and

applying a safety profile corresponding to the user to the location-score to generate a custom location-score personalized to the user according to the safety profile.

16. The computerized method of claim 15, further comprising generating an alert for transmission to the user that includes, or is indicative of, one or more of the location-score or the customized location-score.

17. The computerized method of claim 15, wherein performing the analysis includes performing at least one of a rules-based analysis or a machine-learning analysis.

18. The computerized method of claim 15, wherein the location-score is an updated location-score that is updated from a previous location-score for the location.

19. The computerized method of claim 15, further comprising generating a second alert that includes, or is indicative of, one or more of the location-score and the customized location-score, wherein the second alert is transmitted to one or more additional users listed in a predefined list.

20. The computerized method of claim 15, wherein the safety profile includes detailed characteristics of the user that influence how safe the user is in the location, which may be different from how safe a different user with a different safety profile would be in the location.