IDENTIFIED PRESENCE DETECTION IN AND AROUND PREMISES

• US 20160335865A1
• Filed: 05/11/2016
• Published: 11/17/2016
• Est. Priority Date: 05/13/2015
• Status: Active Grant

• Current Assignee: Tyco Fire & Security GmbH (Johnson Controls International plc)
• Original Assignee: Tyco Fire & Security GmbH (Johnson Controls International plc)
• Inventors: Sayavong, Rajmy, Rosewall, Samuel D. Jr., Bluhm, Gerald M., DeRose, Michael IV, Vandervecht, Rob, Hill, Greg, LeBlanc, David J.
• Granted Patent: US 10,482,759 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/245 Query processing
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06F 21/31 User authentication
• CPC Class Codes: G08B 13/00 Burglar, theft or intruder alarms
• CPC Class Codes: G08B 13/2491 Intrusion detection systems, i.e. where the body of an intruder causes the interference with the electromagnetic field
• CPC Class Codes: G08B 29/185 Signal analysis techniques for reducing or preventing false alarms or for enhancing the reliability of the system
• 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: H04L 67/54 Presence management, e.g. monitoring or registration for receipt of user log-on information, or the connection status of the users
• CPC Class Codes: H04W 4/38 for collecting sensor information

Abstract

A unified presence detection and prediction platform that is privacy aware is described. The platform is receives signals from plural sensor devices that are disposed within a premises. The platform produces profiles of entities based on detected characteristics developed from relatively inexpensive and privacy-aware sensors, i.e., non-video and non-audio sensor devices. The platform using these profiles and sensor signals from relatively inexpensive and privacy-aware sensors determines specific identification and produces historical patterns. Also described are techniques that allow users (persons), when authorized, to control remote devices/systems generally without direct interaction with such systems merely by the systems detecting and in instances predicting the specific presence of an identified individual in a location within the premises.

Claims

1. A system comprises:

a plurality of non-video and non-audio sensor devices;

a system coupled to the plurality of non-video and non-audio sensor devices, the system configured to;

receive signals from at least some of the plurality of non-video and non-audio sensor devices in response to detection of an entity moving through a premises;

retrieve profile records of entities having established profiles on the system, with each profile storing corresponding identification information of an entity associated with the profile and parameter information of characteristics associated with the corresponding entity; and

for each profile,

determine from the signals received from the sensors corresponding parameters;

determine a number of sufficiently close matches of the determined parameters to parameter information from retrieved profile records;

select from the retrieved profile one of the profiles having the highest number of determined number of sufficiently close matches as the specifically identified entity.

2. The system of claim 1 further configured to:

process the signals from the sensors to determine presence of a moving object and to determine parameter values associated with the moving object.

3. The system of claim 1 further configured to:

produce a profile record populated with the determined parameter values associated with the moving object, when each of the retrieved profile records have no matching parameters.

4. The system of claim 1 wherein the plurality of non-video and non-audio sensor devices are sensor device types selected from the group consisting of motion detectors, glass break detectors, noxious gas sensors, smoke/fire detectors, contact/proximity switches, temperature sensors, vibration sensors, air movement/pressure sensors, chemical/electro-chemical sensors, weight sensors, global positioning system transceivers, optical detectors, biometric sensors, EGG/Heartbeat sensors in wearable computing garments, network hotspots, and r.f. detectors.

5. The system of claim 1 further configured to:

determine which profile record or records have above a threshold number of closely matching parameter values; and

when plural profile records have above the threshold number of closely matching parameter values;

determine which profile record has a highest number of matching parameter values.

6. The system of claim 5 wherein the profile record is a first profile record and the system is further configured to:

receive a request to generate a profile;

receive user inputs of user personal information;

produce a second profile record from the data received from the user; and

store the second profile record.

7. A system comprises:

plural sensor devices;

a computing device, configured to;

receive signals from the plural sensor devices;

retrieve a profile of an entity from a data store;

retrieve movement flow records from the data store, the movement flow records comprising data from one or more sensors and temporal information regarding time and day of collection;

analyze the retrieved movement flow records according to a historical pattern rule to determine from the sensor signal data and the temporal information, a set of sensors that satisfy for the retrieved profile the historical pattern rule;

construct a representation of the set of sensors that corresponds to an order and relationship of sensors encountered by the entity associated with the movement records.

8. The system of claim 7 wherein the computer system is further configured to:

produce an historical pattern record.

9. The system of claim 7 wherein the computer system is further configured to:

produce an historical pattern record that includes a reference to the representation of the set of sensors, a profile ID corresponding to the profile and a Rule ID.

10. The system of claim 7 wherein analysis applies a pattern recognition algorithm to analyze the retrieved movement flow records to determine a historical pattern from the movement flow records.

11. The system of claim 7 further configured to:

determine a location of a user from signals sent from one or more of the sensor devices;

determine from signals sent by the one or more sensor devices, an identity of the user;

retrieve from the database one or more patterns corresponding to an action predicted by the system to be performed by the identified user; and

send control signals corresponding to determined control actions to the one or more systems/devices to perform the determined control action by the systems/devices.

12. The system of claim 7 wherein a first one of the one or more control devices is a panel for an alarm/security system, the system further configured to:

authenticate the user for accessing and performing the control action on the panel.

13. The system of claim 7 further configured to:

receive a request for operating in an activity replication learning mode for one or more specific periods of time.

14. The system of claim 7 wherein the constructed representation represents a historical pattern of actions performed by one or more individuals over specified one or more periods of time, with the system further configured to:

produce a listing of actions performed by the one or more individuals over the specific one or more periods of time;

produce control messages according to the listing to control devices and or systems within the premises; and

send the control messages according to a sequence in the listing to control the devices and or systems within the premises.

15. A system for determining occurrences of false alarms triggered by an intrusion detection system, the system comprises:

a computing device including a processor device and memory, the computing device configure to;

receive data from a plurality of non-video and non-audio sensor devices;

receive an assertion of an alarm condition from an intrusion detection system;

process the received sensor data from the plurality of sensor devices to detect presence of a moving object within a specific location;

retrieve from a database profile records of expected entities in the premises;

determine one or more matches of physical attributes from the profiles to detected physical attributes provided by detection of presence from the sensor data;

determine from presence or absence of matches whether to confirm assertion the alarm condition from the intrusion detection system; and

send the determined confirmation to the intrusion detection system.

16. The system of claim 15, further configured to:

produce by a profile system a new profile that is populated with data received from the plurality of non-video and non-audio sensor devices, when there are no matches.

17. The system of claim 15, further configured to:

send a message to the intrusion detection system when confirmation of an alarm condition is determined to cause the intrusion detection system to issue the alarm; and

produce a message including an indication of what triggered the alarm.

18. The system of claim 17 wherein based on the processing of the profile and presence information, the system determines that the alarm was triggered by movement of a family pet or the presence of authorized persons in the premises the system, sends to the intrusion detection system a message to retire the assertion of the alarm.

19. The system of claim 18 wherein based on the processing of the profile and presence information, the system does confirm the assertion of the alarm when the system detects the presence of unidentified or unauthorized individuals.

20. The system of claim 15 wherein the system stores the event for subsequent assertion based on a confirmation from other sensors.

21. A system comprises:

an intrusion detection system comprising a computing device that receives data from plural non-video and non-audio sensor devices, the computing device configure to;

detect intrusions into a premises being protected by the intrusion detection system;

a presence detection system operatively coupled to the intrusion detection system, the presence detection system configured to;

identify a current location of a user in the premises;

retrieve stored profile data and historical pattern records associated with the profile;

retrieve premises profile data that specifies locations of various sensors, layouts of rooms, equipment in the premises, devices/systems that can be electronically controlled, IP addresses of such system/devices;

determine actions that the user is authorized to perform to control the intrusion detection system and other equipment, devices, systems in the premises based on the determined location, the retrieved historical records and the retrieved profile records.

22. The system of claim 21 further configured to:

send actions that control the other equipment, devices, systems, to a user device.

23. The system of claim 21 further configured to:

determine mechanisms available in the current location by which the user can communicate with the presence detection system; and

enable determined mechanism in the determined location to communicate with the presence detection system.

24. The system of claim 21 further configured to:

determine identification of the user by stored profile records and received sensor data for configuring the intrusion system.

25. The system of claim 21 further configured to:

determine user activity with the determined user activity providing a trigger event to enable user interaction with the intrusion detection system.

26. The system of claim 25 wherein the enabled user interaction with the intrusion detection system is by voice commands from the user.

27. The system of claim 21 further comprising:

a plurality of sensor devices that send the sensor data to the system.