Machine-to-machine (M2M) emergency communications

• US 9,685,067 B2
• Filed: 10/31/2013
• Issued: 06/20/2017
• Est. Priority Date: 10/31/2013
• Status: Active Grant

• Current Assignee: AT&T Intellectual Property I LP (AT&T, Inc.)
• Original Assignee: AT&T Intellectual Property I LP (AT&T, Inc.)
• Inventors: Shaw, Venson
• Primary Examiner(s): Osifade, Idowu O
• Application Number:
  US14/068,154
• Publication Number:
  US 20150118988A1
• Time in Patent Office: 1,328 Days
• Field of Search: None
• CPC Class Codes: G08B 13/189 using passive radiation detection systems
• CPC Class Codes: G08B 13/196 using television cameras
• CPC Class Codes: G08B 17/10 Actuation by presence of smoke or gases , e.g. automatic alarm devices for analysing flowing fluid materials by the use of optical means
• CPC Class Codes: G08B 21/20 responsive to moisture
• CPC Class Codes: G08B 23/00 Alarms responsive to unspecified undesired or abnormal conditions
• CPC Class Codes: G08B 25/10 using wireless transmission systems G08B25/009 takes precedence
• CPC Class Codes: H04W 4/90 Services for handling of emergency or hazardous situations, e.g. earthquake and tsunami warning systems [ETWS]

Abstract

System, methods, and devices may provide alerts, such as emergency alerts, using machine-to-machine communications. A method may include receiving a state of a mammal associated with a device, receiving a state of an environment that is approximate to the location of the mammal associated with the device, determining a likelihood of a harmful activity based on the aforementioned states, and automatically sending alert message based on the determined likelihood of the harmful activity.

Claims

1. A method comprising:

receiving, by a processor, detections associated with a first entity, wherein at least one of the detections is indicative of being from a first mobile device carried by the first entity;

determining, by the processor, a pattern of the detections associated with the first entity, wherein the pattern is based on a behavior;

assigning, based on the pattern, a first threat level associated with the first entity;

comparing the first threat level to a first threshold associated with a site in proximity of the first entity, wherein the first threshold is a high likelihood of instigating harmful act;

determining that the first threat level reaches the first threshold;

determining that a second mobile device in proximity of the first entity has an associated second threat level that does not reach the first threshold; and

responsive to the determining that the first threat level reaches the first threshold and the second threat level does not reach the first threshold, providing instructions to send an alert message to the second mobile device in proximity of the first entity, wherein the alert message comprises a request for information about the first entity from the second mobile device.

2. The method of claim 1, further comprising responsive to a determination that the first threat level reaches the first threshold, automatically disabling a weapon approximate to the location of the entity.

3. The method of claim 1, wherein the alert message comprises a questionnaire comprising questions associated with the first entity.

4. The method of claim 1, wherein the first mobile device is a smartphone of the first entity, wherein the first entity is a human.

5. The method of claim 1, wherein the first entity is a non-human living creature.

6. The method of claim 1, further comprising:

responsive to a determination that the first threat level reaches a second threshold, providing instructions to automatically limit access of the first entity to a room of a building.

7. The method of claim 1, further comprising:

responsive to a determination that the first threat level reaches a third threshold, providing instructions to automatically limit access of the first entity to a vehicle associated with the first entity.

8. A server comprising:

a processor; and

a memory coupled to the processor, the memory having stored thereon executable instructions that when executed by the processor cause the processor to effectuate operations comprising;

receiving detections associated with a first entity, wherein at least one of the detections is indicative of being from a mobile device associated with the first entity;

determining a pattern of the detections associated with the first entity, wherein the pattern is based on a behavior;

assigning, based on the pattern, a first threat level associated with the first entity;

comparing the first threat level to a first threshold associated with a site in proximity of the first entity;

determining that the first threat level reaches the first threshold, wherein the first threshold is a high likelihood of instigating harmful act;

determining that a second mobile device in proximity of the first entity has an associated second threat level that does not reach the first threshold; and

responsive to the determining that the first threat level reaches the first threshold and the second threat level does not reach the first threshold, providing instructions to send an alert message to the second mobile device in proximity of the first entity, wherein the alert message comprises a request for information about the first entity from the second mobile device.

9. The server of claim 8, wherein the first entity is a person.

10. The server of claim 8, wherein at least one of the detections indicative of being from:

a finger print detector;

an iris detector;

a facial recognition detector;

a voice recognition detector;

a voice volume detector;

or

a camera.

11. The server of claim 8, wherein at least one of the detections indicative of being from:

a gas detector;

a wind detector;

a water level detector;

or

a camera.

12. The server of claim 8, wherein the first entity is a non-human living creature.

13. The server of claim 8, further operations comprising:

responsive to a determination that the first threat level reaches a second threshold, providing instructions to automatically limit access of the first entity to a room of a building.

14. The server of claim 8, further operations comprising:

responsive to a determination that the first threat level reaches a third threshold, providing instructions to automatically limit access of the first entity to a vehicle associated with the first entity.

15. A computer readable storage medium comprising computer executable instructions that when executed by a computing device cause said computing device to effectuate operations comprising:

receiving detections associated with a first entity, wherein at least one of the detections is indicative of being from a mobile device associated with the first entity;

determining a pattern of the detections;

assigning, based on the pattern, a first threat level associated with the first entity;

comparing the first threat level to a first threshold associated with a site in proximity of the first entity, wherein the first threshold is a high likelihood of instigating harmful act;

determining that the first threat level reaches the first threshold;

determining that a second mobile device in proximity of the first entity has an associated second threat level that does not reach the first threshold; and

responsive to the determining that the first threat level reaches the first threshold and the second threat level does not reach the first threshold, providing instructions to send an alert message to the second mobile device in proximity of the first entity, wherein the alert message comprises a request for information about the first entity from the second mobile device.

16. The computer readable storage medium of claim 15, further operations comprising responsive to a determination that the first threat level reaches the first threshold, automatically:

disabling a weapon approximate to the location of the entity;

or

disabling a function of a vehicle approximate to the location of the entity.

17. The computer readable storage medium of claim 15, wherein at least one of the detections indicative of being from:

a finger print detector;

an iris detector;

a facial recognition detector;

a voice recognition detector;

a voice volume detector;

or

a camera.

18. The computer readable storage medium of claim 15, wherein at least one of the detections indicative of being from:

a gas detector;

a wind detector;

a water level detector;

or

a camera.

19. The computer readable storage medium of claim 15, wherein the first entity is a non-human living creature.

20. The computer readable storage medium of claim 15, further operations comprising:

responsive to a determination that the first threat level reaches a third threshold, providing instructions to automatically limit access of the first entity to a vehicle associated with the first entity.