1 Sniper Detection Using Wireless Sensor Networks Joe Brassard Wing Siu EE-194WIR: Wireless Sensor...
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Transcript of 1 Sniper Detection Using Wireless Sensor Networks Joe Brassard Wing Siu EE-194WIR: Wireless Sensor...
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Sniper Detection Sniper Detection Using Wireless Sensor Using Wireless Sensor
NetworksNetworksJoe BrassardJoe Brassard
Wing SiuWing SiuEE-194WIR: Wireless Sensor NetworksEE-194WIR: Wireless Sensor Networks
Presentation #1: February 10, 2005Presentation #1: February 10, 2005
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Project Goals/Schedule Research the theory behind sensor network
based counter-sniper systems Examine early implementations (Viper,
Bullet Ears, Pilar, LifeGuard) Study a newer system recently developed
at Vanderbilt University (PinPtr) Suggest possible improvements to these
systems
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Sniper Detection By definition a sniper is usually hidden from
view
Need sensors and software to track position post-shot
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Sniper Detection Ways to track a bullet
Visually – Infrared Cameras Acoustically - Microphones Shockwave – Pressure sensors
Automated detection systems use some combination of these factors
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Some Sniper Detection Systems
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A Rifle Shot Rifle bullet travels at supersonic speeds,
creating its own shockwave and loud muzzle blast
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Finding the Sniper Record physical phenomena
Projectile thermal signature Muzzle flash Muzzle blast and resultant shockwave
Multiple sensors work best Accuracy Multiple issues
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Infrared Detection Infrared image vs. “visible” image
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Acoustic/Shockwave Detection Rifle shot generates acoustic events
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Sensor Network Issues Time Synchronization Message Routing Sensor Localization/Density Signal Detection Portability Dynamic/Static Sensor Networks Processing Sensor Information
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Time Synchronization Issues To obtain reference
points from each sensor, a time synchronization protocol is necessary
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Sensor Configuration Issues How should sensors
be placed? Sensor density needs
to be considered Density decreases over
time Line-of-Sight for muzzle
blast detection needed Projectile trajectory must
not be shaded for shockwave detection
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Signal Detection Issues Sensitivity of microphones must be very low
in order to handle muzzle blasts and shockwaves (to avoid false positives)
Shockwave and muzzle blast events need to be individually modeled as each sensor might not register both signals each shot
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Finished Product One Implementation For Sniper Detection:
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References Maroti, et. al. “Sensor Network-Based
Countersniper System” (Vanderbilt University) Vick, et. Al. “Aerospace Operations in Urban
Environments” (RAND) “LifeGuard” Video Courtesy of Lawrence
Livermore National Laboratory (University of California)
BBN Technologies FLIR Systems, Inc.