Methods and systems for security tracking and generating alerts

• US 10,810,695 B2
• Filed: 06/16/2017
• Issued: 10/20/2020
• Est. Priority Date: 12/31/2016
• Status: Active Grant

• Current Assignee: AVA Information Systems GmbH
• Original Assignee: AVA Information Systems GmbH
• Inventors: Knopp, Sascha Martin Tobias, Stojanovic, Aleksandar
• Primary Examiner(s): Ouellette, Jonathan P
• Application Number:
  US15/625,982
• Publication Number:
  US 20180189913A1
• Time in Patent Office: 1,222 Days
• Field of Search: 705 11-912
• 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:

receive data, from a first source being an electronic device by a security engine operating at a first server device, over a first wireless communication, wherein the data includes at least location information indicating a first location derived from an electronic sensor of the electronic device;

analyze, by the security engine, the data received from the first source;

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

access, by the security engine, 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 includes new information corresponding to a known incident, supplement, by the security engine, 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;

responsive to (i) supplementing the stored information, or (ii) generating the new incident information, generate, by the security engine, a location-score for the first location based at least in part on the updated existing incident information or the new incident information, wherein generating the location-score is performed through machine-learning techniques in accordance with weighted values of events corresponding to a geographic region surrounding the first location; and

transmit, via a second wireless communication, the location-score to a network device, the network device configured to (i) stored on non-transitory, computer-readable medium therein a safety profile corresponding to a user, and (ii) apply the safety profile to the location-score to generate a custom location-score personalized to the user according to the safety profile such that results of application of the safety profile remain on the network device enabling contents of the safety profile to remain unknown to the security engine, wherein the custom location-score is configured for display on a display screen of the network device.

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 second 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 being an electronic device by a security engine operating at a first server device, via a first wireless communication, wherein the data includes at least location information indicating a first location derived from an electronic sensor of the electronic device;

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

accessing, by the security engine, 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 includes new information corresponding to a known incident, supplementing, by the security engine, 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;

responsive to supplementing the stored information or responsive to generating the new incident information, generating, by the security engine, a location-score for the first location based at least in part on the updated existing incident information or the new incident information, wherein generating the location-score is performed through machine-learning techniques in accordance with weighted values of events corresponding to a geographic region surrounding the first location;

transmitting, via a second wireless communication, the location-score to a network device remote from the first server device; and

applying, by logic of the network device, a safety profile corresponding to a user to the location-score to generate a custom location-score personalized to the user according to the safety profile, wherein the safety profile is stored on non-transitory, computer-readable medium of the network device such that results of application of the safety profile remain on the network device enabling contents of the safety profile to remain unknown to the security engine, wherein the custom location-score is configured for display on a display screen of the network device.

9. The computerized method of claim 8, further comprising generating an alert for transmission to the 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 second 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, by a security engine operating at a first server device, a trigger to generate a location-score, the trigger including an indication that the user is at a location at a time;

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

performing, by the security engine, 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, wherein generating the location-score is performed through machine-learning techniques in accordance with weighted values of events corresponding to a geographic region surrounding the location of the user; and

applying, by logic of a mobile device of the user, 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, wherein the safety profile is stored on non-transitory, computer-readable medium of the mobile device such that results of application of the safety profile remain on the mobile device enabling contents of the safety profile to remain unknown to the security engine.

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 or 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.