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Swarming Network for Intruder Detection

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

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Swarming Network for Intruder Detection

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  1. Swarming Network forIntruder Detection Jerry A. Krill, Mike J. O‘Driscoll Johns Hopkins University - Applied Physics Laboratory

  2. 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

  3. 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

  4. Sensor Window Sensor Window Solar Cells 1-2 cm diameter Protective, Disguised Cover transmit / receive RF antennas Pebble Configuration

  5. Elements of the Network Sensor “Pebble Field” Security Office Remote Receivers Corporate Facilities

  6. Intruder Detection Sensor “Pebble Field” Security Office Remote Receivers Corporate Facilities

  7. Intruder Detectionvia Microwave Signal Blockage Several nodes act as “illuminators” All nodes operate on communications frequency Sensor “Pebble Field” Security Office Remote Receivers Corporate Facilities

  8. 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

  9. Contact InformationTo be presented at 3rd International Conference on IntelligentSensors, Sensor Networks, and Information Processing (ISSNIP) 2007 • For technical information contact: Mike O’Driscoll, Inventor 443-778-2269 mike.odriscoll@jhuapl.edu • For licensing information contact: John Bacon, Technology Manager Office of Technology Transfer The Johns Hopkins University Applied Physics Laboratory 11100 Johns Hopkins Road Laurel, MD 20723 443-778-8309 john.bacon@jhuapl.edu www.jhuapl.edu/ott

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