Swarming Network for Intruder Detection

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0700384_UK.PPT-1 Swarming Network for Intruder Detection Jerry A. Krill, Mike J. O‘Driscoll Johns Hopkins University - Applied Physics Laboratory

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Swarming Network for Intruder Detection. Jerry A. Krill, Mike J. O‘Driscoll Johns Hopkins University - Applied Physics Laboratory. Background. Various video and infrared (IR) monitoring methods exist today to monitor and control access Video monitoring IR moving object detectors - PowerPoint PPT Presentation

Transcript of Swarming Network for Intruder Detection

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Swarming Network forIntruder Detection

Jerry A. Krill, Mike J. O‘DriscollJohns Hopkins University - Applied Physics Laboratory

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Background

• Various video and infrared (IR) monitoring methods exist today to monitor and control access– Video monitoring– IR moving object detectors– IR tripwire paths

• We propose a new approach to intruder detection and location – a swarming sensor network

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Basic Technology

• Many sensor “pebbles” connected in a very simple network

• Act as cueing nodes using an influential form of communications without protocols

• Swarming of pebble behavior in response to cue stimulation from pebbles

• Means to remotely monitor the sensor network

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Pebble Configuration

SensorWindow

Protective,Disguised

Cover

transmit / receiveRF antennas

SolarCells

SensorWindow

1-2 cmdiameter

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Elements of the Network

Corporate Facilities

SecurityOfficeRemote

Receivers

Sensor “Pebble Field”

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Intruder Detection

Corporate Facilities

SecurityOfficeRemote

Receivers

Sensor “Pebble Field”

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Intruder Detectionvia Microwave Signal Blockage

All nodes operateon communications

frequency

Several nodes actas “illuminators”

Corporate Facilities

SecurityOfficeRemote

Receivers

Sensor“Pebble Field”

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Commercial Applications• Means to monitor security zones

– difficult to counter– highly automated and relatively inexpensive

• Scalable from room size to many square miles– Examples:

• Offices Industrial complexes • Malls Utility installations• Office buildings Military test ranges

• Existing designs provide a practical starting point for rapid prototyping

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Contact InformationTo be presented at 3rd International Conference on IntelligentSensors, Sensor Networks, and Information Processing (ISSNIP) 2007

• For technical information contact:

Mike O’Driscoll, [email protected]

• For licensing information contact:

John Bacon, Technology ManagerOffice of Technology TransferThe Johns Hopkins UniversityApplied Physics Laboratory11100 Johns Hopkins RoadLaurel, MD [email protected]/ott