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WIFI SIGNALS TO DETECT
BOMBS
AND
CHEMICAL EXPLOSIVES
Contents
• Introduction
• Requirement
• Working
• System overview
• Two Wi-Fi antenna Setups
• Object Risk Estimation
• Conclusion
• References
INTRODUCTION
 The growing needs of public safety urgently require
scalable and low-cost techniques on detecting dangerous
objects hidden in baggage.
 Traditional baggage check involves either high manpower
for manual examinations or expensive and specialized
instruments .
 A system have developed that uses ordinary Wi-Fi to easily
detect weapons , bombs and explosive chemicals in bags
with nearly 90 per cent accuracy , demonstrating low-cost
technology for security screening.
REQUIREMENT
 A Wi-Fi device
 2 to 3 antennas
 A Wi-Fi device with 2 to 3
antennas and can be
integrated into existing Wi-
Fi networks with low-cost
and deployment efforts ,
making it more scalable
and practical than the
approaches using
dedicated instruments.
WORKING
• This approach uniquely separates the wireless interface
caused by two influencing factors of objects
i.e., material and shape
• To identify different materials we exploit the Wi-Fi signal
transmitting through or bypassing the objects , which
result in different characteristics like absorption ,
refraction and reflection in CSI values from antennas and
their difference.
• We can estimate its shape (width and height)or volume
based on the finding that the strength of the reflected
signal is proportional to the reflection area of the object.
CSI(Channel State Information)
• In wireless communications , channel state information
refers to known channel properties of a communication
link.
• This information describes how a signal propagates from
the transmitter to the receiver and represents the
combined effect of scattering ,absorption and power decay
with distance
WIFI SIGNALS TO DETECT BOMBS AND CHEMICAL EXPLOSIVES
System overview
TWO ANTENNA SETUPS
Object Risk Estimation through Reflection-
Based Object Imaging
1. Extracting Reflected Signal from CSI Complex
2.Volume Estimation for Liquid Objects in Baggage
WIFI SIGNALS TO DETECT BOMBS AND CHEMICAL EXPLOSIVES
CONCLUSION
• To detect the suspicious objects using Wi-Fi technology .
• No installation of high-cost security checking's
infrastructures .
• It can estimate the risk level of the object.
• Extensive experiments are conducted with 15 objects and 6
bags over a 6 month period. The result show that this
system can detect over 95% dangerous objects in different
types of bags and successfully identify 90% dangerous
material types.
REFERENCES
• P. MAZZEI, “Florida school, on edge since shooting, requires students to
carry clear backpacks,” https://www.nytimes.com/ 2018/03/21/us/florida-
school-shooting-clear-backpacks.html, 2018.
• https://ieeexplore.ieee.org/document/8433142
WIFI SIGNALS TO DETECT BOMBS AND CHEMICAL EXPLOSIVES

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WIFI SIGNALS TO DETECT BOMBS AND CHEMICAL EXPLOSIVES

  • 1. WIFI SIGNALS TO DETECT BOMBS AND CHEMICAL EXPLOSIVES
  • 2. Contents • Introduction • Requirement • Working • System overview • Two Wi-Fi antenna Setups • Object Risk Estimation • Conclusion • References
  • 3. INTRODUCTION  The growing needs of public safety urgently require scalable and low-cost techniques on detecting dangerous objects hidden in baggage.  Traditional baggage check involves either high manpower for manual examinations or expensive and specialized instruments .
  • 4.  A system have developed that uses ordinary Wi-Fi to easily detect weapons , bombs and explosive chemicals in bags with nearly 90 per cent accuracy , demonstrating low-cost technology for security screening.
  • 5. REQUIREMENT  A Wi-Fi device  2 to 3 antennas  A Wi-Fi device with 2 to 3 antennas and can be integrated into existing Wi- Fi networks with low-cost and deployment efforts , making it more scalable and practical than the approaches using dedicated instruments.
  • 6. WORKING • This approach uniquely separates the wireless interface caused by two influencing factors of objects i.e., material and shape • To identify different materials we exploit the Wi-Fi signal transmitting through or bypassing the objects , which result in different characteristics like absorption , refraction and reflection in CSI values from antennas and their difference. • We can estimate its shape (width and height)or volume based on the finding that the strength of the reflected signal is proportional to the reflection area of the object.
  • 7. CSI(Channel State Information) • In wireless communications , channel state information refers to known channel properties of a communication link. • This information describes how a signal propagates from the transmitter to the receiver and represents the combined effect of scattering ,absorption and power decay with distance
  • 11. Object Risk Estimation through Reflection- Based Object Imaging 1. Extracting Reflected Signal from CSI Complex
  • 12. 2.Volume Estimation for Liquid Objects in Baggage
  • 14. CONCLUSION • To detect the suspicious objects using Wi-Fi technology . • No installation of high-cost security checking's infrastructures . • It can estimate the risk level of the object. • Extensive experiments are conducted with 15 objects and 6 bags over a 6 month period. The result show that this system can detect over 95% dangerous objects in different types of bags and successfully identify 90% dangerous material types.
  • 15. REFERENCES • P. MAZZEI, “Florida school, on edge since shooting, requires students to carry clear backpacks,” https://www.nytimes.com/ 2018/03/21/us/florida- school-shooting-clear-backpacks.html, 2018. • https://ieeexplore.ieee.org/document/8433142