VMD fused radar—a hyper-volumetric ultra-low NAR sensor system

• US 10,062,255 B1
• Filed: 11/13/2017
• Issued: 08/28/2018
• Est. Priority Date: 11/13/2017
• Status: Active Grant

• Current Assignee: National Technology & Engineering Solutions Of Sandia LLC (Honeywell International Inc.), Management Sciences, Inc.
• Original Assignee: National Technology & Engineering Solutions Of Sandia LLC (Honeywell International Inc.)
• Inventors: Russell, John L., Small, Daniel E., Koch, Mark W., Anderson, Robert J., Andersen, Jason Jann, Groth, Katrina
• Primary Examiner(s): Tweel, Jr., John A
• Application Number:
  US15/810,393
• Time in Patent Office: 288 Days
• CPC Class Codes: G01S 13/56 for presence detection presence detection using near field arrangements G01V3/00, e.g. G01V3/08, G01V3/12; burglar, theft or intruder alarms with electrical actuation G08B13/22 - G08B13/26
• CPC Class Codes: G01S 13/867 Combination of radar systems with cameras
• CPC Class Codes: G01S 13/886 for alarm systems alarms with electrical actuation G08B13/22
• CPC Class Codes: G06F 18/29 Graphical models, e.g. Bayesian networks
• CPC Class Codes: G06V 20/52 Surveillance or monitoring of activities, e.g. for recognising suspicious objects recognising microscopic objects G06V20/69
• CPC Class Codes: G08B 13/122 for a perimeter fence features peculiar to electrified fences A01K3/00
• CPC Class Codes: G08B 13/187 by interference of a radiation field
• CPC Class Codes: G08B 13/19602 Image analysis to detect motion of the intruder, e.g. by frame subtraction
• CPC Class Codes: G08B 13/19606 Discriminating between target movement or movement in an area of interest and other non-signicative movements, e.g. target movements induced by camera shake or movements of pets, falling leaves, rotating fan
• CPC Class Codes: G08B 13/19613 Recognition of a predetermined image pattern or behaviour pattern indicating theft or intrusion
• CPC Class Codes: G08B 13/19665 Details related to the storage of video surveillance data television signal recording H04N5/76
• CPC Class Codes: G08B 13/19695 Arrangements wherein non-video detectors start video recording or forwarding but do not generate an alarm themselves
• CPC Class Codes: G08B 13/19697 Arrangements wherein non-video detectors generate an alarm themselves
• CPC Class Codes: G08B 29/16 Security signalling or alarm systems, e.g. redundant systems
• CPC Class Codes: G08B 29/188 Data fusion; cooperative systems, e.g. voting among different detectors

Abstract

A system or method for a physical intrusion detection and assessment system is provided for determining a deliberate motion intrusion. The system includes first and second sensing device to sense physical data set within a predetermined space. A transducer module receives the first sensor physical data set and the second sensor physical data set and converts the first and second physical data sets into analog signals representative of the first and second physical data sets. A signal conditioning layer converts the first and second physical data analog signals to digital signals. A processor device correlates the first physical data set and the second physical data set and generates an alarm in response to identification of an intrusion in the space. A method and algorithms are applied to the data sets for determining whether a detected intrusion is associated with deliberate motion rather than random motion.

Claims

1. A physical intrusion detection and assessment system for determining a deliberate motion intrusion, the system comprising:

a first sensing device configured to sense a first physical data set within a predetermined space;

a second sensing device configured to sense a second physical data set within the predetermined space;

a transducer module to receive the first physical data set and the second physical data set;

the transducer module configured to convert the first physical data set and the second physical data set into analog signals representative of the first physical data set and the second physical data set;

a signal conditioning layer configured to convert the first physical data set and the second physical data set analog signals to digital signals; and

a processor device configured to execute an algorithm, wherein the algorithm correlates the first physical data set and the second physical data set and generates an alarm in response to identification of an intrusion in the space.

2. The system of claim 1, wherein the first sensing device is a video motion detection device and the first physical data set comprises video data.

3. The system of claim 1, wherein the second sensing device is a radar device and the second physical data set comprises radar data.

4. The system of claim 1, wherein the space comprises a first boundary line and a second boundary line, the first boundary line and a second boundary line separated by a predetermined distance;

the first boundary line representing an initial intrusion detection point and a second boundary line indicating an exit boundary corresponding to a protected entity.

5. The system of claim 4, wherein the first physical data set and the second physical data set occurring between the first boundary line and the second boundary line, are processed by AND logic to identify concurrent data in the first physical data set and the second physical data set that is indicative of a deliberate motion.

6. The system of claim 4, wherein the first physical data set and the second physical data set occurring between the first boundary line and the second boundary line, are processed by OR logic to identify data in the first physical data set and the second physical data set that is indicative of a deliberate motion.

7. The system of claim 4, wherein the algorithm further comprises:

a second layer algorithm,

wherein the second layer algorithm receives digital data associated with the first physical data set and the second physical data set, and applies a dynamic Bayesian network to determine whether the alarm condition represents a deliberate motion directed towards the second boundary line.

8. The system of claim 7, wherein the digital data includes video motion data, radar data and weather data.

9. The system of claim 1, wherein the algorithm comprises:

a first layer algorithm and a second layer algorithm;

the first layer algorithm comprising at least one of a Kalman Filter, Particle Filter, Multi-Hypothesis Tracking, Deliberate Motion MHT Algorithm, Probabilistic Knowledge-Based System, and combinations thereof;

and the second layer algorithm comprising a Dynamic Bayesian Network;

wherein the first layer algorithm receives digital data associated with the first physical data set and the second physical data set and generates an intrusion feature vector data set;

wherein the second layer algorithm received the intrusion feature vector data set and generates an alarm in response to a positive indication of a deliberate motion in the intrusion feature vector data set.

10. The system of claim 9, wherein the intrusion feature vector data set comprises an alarm condition output from the first layer algorithm;

a time associated with each data point in the respective first or second physical data set, a velocity vector, and a direction.

11. A method for detection and assessment of data associated with a physical intrusion in a protected area comprising:

sensing a first physical data set within a predetermined space;

sensing a second physical data set within the predetermined space;

converting the first physical data set and the second physical data set into analog signals representative of the first physical data set and the second physical data set;

conditioning the first physical data set and the second physical data set analog signals to digital signals;

correlating the first physical data set and the second physical data set; and

generating an alarm in response to identification of an intrusion in the space.

12. The method of claim 11, further comprising:

providing a video motion detection device to generate the first physical data set and

providing a radar device to generate the second physical data;

wherein the first physical data set comprises video motion data and the second physical data set comprises radar data.

13. The method of claim 11, further comprising:

defining a first boundary line and a second boundary line separated by a predetermined distance;

the first boundary line representing an initial intrusion detection point and a second boundary line indicating an exit boundary corresponding to a protected entity.

14. The method of claim 13, further comprising

processing the first physical data set and the second physical data set occurring between the first boundary line and the second boundary line, using AND logic;

and

identifying concurrent data in the first physical data set and the second physical data set that is indicative of a deliberate motion.

15. The method of claim 13, further comprising

processing the first physical data set and the second physical data set occurring between the first boundary line and the second boundary line using OR logic;

and

identifying data in the first physical data set and the second physical data set that is indicative of a deliberate motion.

16. The method of claim 13, further comprising:

receiving the digital data associated with the first physical data set and the second physical data set,

applying a dynamic Bayesian network; and

determining whether the alarm condition represents a deliberate motion directed towards the second boundary line.

17. The method of claim 16, further comprising generating the digital data using at least one of a Kalman Filter, Particle Filter, Multi-Hypothesis Tracking, Deliberate Motion MHT Algorithm, Probabilistic Knowledge-Based System, and combinations thereof.

18. The method of claim 16, further comprising receiving digital data associated with the first physical data set and the second physical data set and generating an intrusion feature vector data set.

19. The method of claim 18, further comprising receiving the intrusion feature vector data set generating an alarm in response to a positive indication of a deliberate motion in the intrusion feature vector data set.

20. A non-transitory computer-readable medium comprising instructions that, when executed by a processor, cause the processor to perform acts comprising:

receiving a first digital data set associated with sensed data derived from a video motion detector for a predetermined space;

receiving a second digital data set associated with sensed data from a radar detector within the predetermined space;

processing the first digital data set and the second digital data set occurring between the first boundary line and the second boundary line, using AND logic or OR logic; and

identifying data in the first digital data set and the second digital data set that is indicative of a deliberate motion.