Intelligent area monitoring system

• US 5,576,972 A
• Filed: 03/28/1995
• Issued: 11/19/1996
• Est. Priority Date: 05/08/1992
• Status: Expired due to Fees

• Current Assignee: Dana C. Harrison
• Original Assignee: Dana C. Harrison
• Inventors: Harrison, Dana C.
• Primary Examiner(s): Voeltz, Emanuel T.
• Assistant Examiner(s): PEESO, THOMAS R
• Application Number:
  US08/413,720
• Time in Patent Office: 602 Days
• Field of Search: 364/516, 395/93, 395/133, 395/2.11, 395/2.4, 395/2.41, 395/62, 395/275, 395/81, 340/541, 340/600
• US Class Current: 702/128
• CPC Class Codes: G01S 13/04 Systems determining presence of a target based on relative movement of target G01S13/56
• CPC Class Codes: G01S 15/04 Systems determining presence of a target
• CPC Class Codes: G01S 17/04 Systems determining the presence of a target
• CPC Class Codes: G08B 25/14 Central alarm receiver or annunciator arrangements

Abstract

An intelligent area monitoring system having a field sensor, a neural network computer, and a communications apparatus is disclosed. The system has the capability of detecting and monitoring the location and identity of people, animals, and objects within an indoor or outdoor area for the purpose of intrusion detection, theft deterrence, and accident prevention. The neural network computer accepts the input signals from the field sensor and forms a virtual model of the monitored area from the input. Any changes that occur within the monitored area are communicated to system users. The sensors can be active or passive, analog or binary, and the system is optimally configured with a mix of different sensor types such as vibration, sound, infrared, optical, microwave, and ultrasonic. Each analog sensor provides an analog output which varies in proportion to the size and distance of its target. After monitoring changes in the space being monitored and identifying various objects within the space, the neural network computer communicates such information to the user.

Claims

1. A system for monitoring a space comprising:

a sensor;

a neural network responsive to the output from said sensor to create a model of the space and objects in the space within the field of view of said sensor, said neural network providing an output corresponding to changes within the space; and

apparatus which uses said neural network output to indicate changes within the space to a user of the system.

2. A system as recited in claim 1 wherein said sensor provides analog output to said neural network.

3. A system as recited in claim 1 wherein said sensor provides binary output to said neural network.

4. A system as recited in claim 1 wherein said sensor is responsive to energy selected from the group consisting of infrared energy, optical energy, microwave energy, sound energy, and ultrasonic energy.

5. A system as recited in claim 1 wherein said system comprises a plurality of sensors and wherein said neural network provides an output corresponding to a plurality of simultaneous changes among multiple independent targets within the space being monitored.

6. A system as recited in claim 1 wherein said neural network provides an output corresponding to the identity of an object within the space being monitored.

7. A system as recited in claim 1 wherein said neural network provides a predetermined alert when one or more defined changes occur within the space being monitored.

8. A system for monitoring a space comprising:

a plurality of sensors capable of sensing a change occurring within a predetermined space;

a neural network responsive to the output of said sensors for creating a model of the space and objects within the field of view of said sensors and for providing an output corresponding to any of a plurality of simultaneous changes among multiple independent targets within the space being monitored which are detected by at least one of said sensors; and

apparatus which uses said neural network output to indicate changes within the space to a user of the system.

9. A system as recited in claim 8 wherein said sensors are arranged as an array of individual sensors, at least one of said individual sensors being responsive to energy selected from the group consisting of infrared energy, optical energy, microwave energy, sound energy, ultrasonic energy, vibrational energy and heat energy.

10. A system as recited in claim 8 wherein said communication apparatus provides a graphical depiction of said model.

11. A system as recited in claim 8 wherein said neural network provides an alert when a changes occurs within the space which exceeds a previously observed behavioral norm.

12. A system as recited in claim 8 wherein said apparatus indicates the identity, location and changes among the objects within said space.

13. A system for monitoring a space comprising:

a plurality of sensors;

a neural network simultaneously responsive to the output of each of said sensors for detecting, identifying, and determining the relative location of objects within the field of view of any of said sensors and for providing an output corresponding to the identity and location of a plurality of simultaneous changes among objects within the space; and

apparatus which uses said neural network output to indicate said identity and changes to a user of the system.

14. A system as recited in claim 13 wherein said plurality of sensors comprises at least one sensor which is capable of providing an output that varies in proportion to the size and distance a target within the field of view of said sensor.

15. A system as recited in claim 13 wherein said neural network computer comprises processing apparatus capable of converting the aggregate output from said sensors into specific patterns.

16. A system as recited in claim 15

further comprising rule-based processing apparatus capable of equating said specific patterns to codes representing the identity of targets within the space being monitored.

17. A system as recited in claim 13 wherein said plurality of sensors are arranged as a mobile array of sensors.

18. A system as recited in claim 13 wherein said plurality of sensor are arranged as a stationary array.