IP Library Granted Patent US 7,305,467
Granted Patent B2
US 7,305,467 · App. 10/329,069 · Granted Dec 4, 2007

Autonomous tracking wireless imaging sensor network including an articulating sensor and automatically organizing network nodes

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Quick Facts
Patent No.
US 7,305,467
App. No.
10/329,069
Granted
Dec 4, 2007
Kind
B2
Abstract

A wireless integrated network sensor (WINS) system is provided that integrates articulating tracking systems with WINS network components including visual or infrared sensors and imaging devices to enable precise tracking and targeting of objects moving through a sensor field or past a single integrated sensing and targeting unit. Further, arrays of sensors together with local signal processing are used to trigger cameras and tracking systems, and to provide an alternative location capability for improved robustness. The system is self-configuring and remotely controllable, and enables remote systems and operators to query for collected data, including sensory and image data, and control the system in response to the collected data.

Claims (28)

1. A method of collecting data in a sensor network, comprising:

automatically organizing a plurality of network elements including a plurality of nodes locally disposed among an environment and at least one remote client system, wherein the organizing includes automatically coupling and configuring the plurality of nodes for self-assembly and further includes coupling and controlling a flow of information among the network elements, and wherein at least one of the plurality of nodes includes an articulating sensor;

remotely controlling at least one function of the plurality of nodes;

detecting a target in the environment using at least one sensor of the plurality of nodes in addition to the articulating sensor;

tracking the target using the articulating sensor; and

collecting and transferring data associated with the target to the remote client system.

2. The method of claim 1 , further comprising manipulating the collected data, wherein manipulating includes at least one of routing, fusing, processing, evaluating, and storing the collected data.

3. The method of claim 2 , wherein the plurality of nodes comprises a first node, and wherein fusing comprises the first node collecting and processing data from at least another of the plurality of nodes.

4. The method of claim 1 , wherein the sensor is an acoustic sensor.

5. The method of claim 1 , wherein the articulating sensor is at least one of a tracking system, an antenna, and an active sensor.

6. The method of claim 5 , wherein the tracking system is at least one of a laser tracking system, an optical tracking system, and an imaging system.

7. The method of claim 6 , wherein the optical tracking system is a camera system.

8. The method of claim 1 , further comprising:

collecting optical data of the target using at least one optical sensor of the plurality of nodes; and

identifying and designating the target using the optical data.

9. The method of claim 1 , wherein the at least one sensor and the articulating sensor are on different nodes of the plurality of nodes.

10. The method of claim 1 , wherein the plurality of network elements includes at least one gateway, at least one server, and components of at least one communication network.

11. A sensor network comprising a plurality of nodes, wherein the plurality of nodes are coupled to communicate with at least one remote system via at least one coupling with components of a wide area network, wherein the nodes automatically organize to form the sensor network in response to information communicated among the nodes, wherein the automatic organizing comprises automatically coupling and configuring the nodes to form the sensor network and automatically controlling data transfer, processing, and storage within the sensor network, wherein functions of the nodes are remotely controllable and programmable via internetworking among the nodes.

12. The sensor network of claim 11 , wherein at least one of the nodes includes an articulating sensor, and wherein the articulating sensor is at least one of a tracking system, an imaging system, and an antenna.

13. The sensor network of claim 11 , wherein the plurality of nodes include two or more node types, wherein a first node type includes at least one passive sensor and a second node type includes an articulating sensor.

14. The sensor network of claim 11 , wherein at least one of the plurality of nodes is a gateway that communicates with the components of the wide area network.

15. A sensor node comprising:

at least one processor coupled to at least one communication device, wherein the at least one processor automatically couples the sensor node to and configures the sensor node among a plurality of network elements and automatically controls communication with and control of a flow of information among the network elements, wherein the network elements couple among an environment and at least one remote client system to support remote controllability of the sensor node via the remote client system; and

at least one articulating sensor coupled to the at least one processor to track detected targets.

16. The node of claim 15 , further comprising at least one sensor coupled to the processor to detect at least one target.

17. The node of claim 15 , further comprising a photographic system.

18. The node of claim 15 , wherein the articulating sensor is at least one of tracking system, a laser tracking system, and an optical tracking system.

19. The node of claim 15 , wherein the plurality of network elements includes at least one gateway, at least one server, and components of at least one wide area network.

Assignments (10)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 21, 2023
From: MIND FUSION, LLC
To: THINKLOGIX, LLC
Reel/Frame 064357/0554 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 13, 2023
From: INTELLECTUAL VENTURES ASSETS 191 LLC
To: MIND FUSION, LLC
Reel/Frame 064270/0685 →
SECURITY INTEREST Recorded Mar 24, 2023
From: MIND FUSION, LLC
To: INTELLECTUAL VENTURES ASSETS 191 LLC; INTELLECTUAL VENTURES ASSETS 186 LLC
Reel/Frame 063295/0001 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 12, 2023
From: BENHOV GMBH, LLC
To: INTELLECTUAL VENTURES ASSETS 191 LLC
Reel/Frame 062755/0939 →
MERGER Recorded Dec 6, 2015
From: BORGIA/CUMMINS, L.L.C.
To: BENHOV GMBH, LLC
Reel/Frame 037219/0381 →
CORRECTIVE ASSIGNMENT TO CORRECT THE CONVEYING PARTY DATA TO PROVIDE NAMES FOR TWO ADDITIONAL EXECUTING PARTIES PREVIOUSLY RECORDED ON REEL 017286 FRAME 0142. ASSIGNOR(S) HEREBY CONFIRMS THE TWO ADDITIONAL PARTIES EXECUTED THE TERMINATION AND RELEASE OF INTELLECTUAL PROPERTY SECURITY INTEREST. Recorded Oct 1, 2010
From: HUMMER WINBLAD VENTURE PARTNERS IV, L.P.; HUMMER WINBLAD TECHNOLOGY FUND IV, L.P.; BRUGGERE, THOMAS
To: SENSORIA CORPORATION
Reel/Frame 025077/0934 →
CORRECTIVE ASSIGNMENT TO CORRECT THE SPELLING OF THE ASSIGNEE'S CITY OF RESIDENCE ERRONEOUSLY SPELLED "WILLINGTON" PREVIOUSLY RECORDED ON REEL 017636 FRAME 0792. ASSIGNOR(S) HEREBY CONFIRMS THE CORRECT SPELLING OF THE ASSIGNEE'S CITY OF RESIDENCE IS "WILMINGTON". Recorded Jul 23, 2010
From: SENSORIA CORPORATION
To: BORGIA/CUMMINS, LLC
Reel/Frame 024733/0285 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 19, 2006
From: SENSORIA CORPORATION
To: BORGIA/CUMMINS, LLC
Reel/Frame 017636/0792 →
TERMINATION AND RELEASE OF INTELLECTUAL PROPERTY SECURITY INTEREST Recorded Feb 24, 2006
From: HUMMER WINBLAD VENTURE PARTNERS IV, L.P.
To: SENSORIA CORPORATION
Reel/Frame 017286/0142 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 17, 2003
From: KAISER, WILLIAM J.; NEWBERG, LARS FREDRIC; POTTIE, GREGORY J.
To: SENSORIA CORPORATION
Reel/Frame 013968/0932 →