WIFI SIGNALS TO DETECT BOMBS AND CHEMICAL EXPLOSIVES
Using common WiFi, this low-cost suspicious object detection system can detect weapons, bombs and explosive chemicals in bags, backpacks and luggage. ... WiFi can also be used to estimate the volume of liquids such as water, acid, alcohol and other chemicals for explosives,WiFi, or wireless, signals in most public places can penetrate bags to get the dimensions of dangerous metal objects and identify them, including weapons, aluminum cans, laptops and batteries for bombs. WiFi can also be used to estimate the volume of liquids such as water, acid, alcohol and other chemicals for explosives, according to the researchers. This low-cost system requires a WiFi device with two to three antennas and can be integrated into existing WiFi networks. The system analyzes what happens when wireless signals penetrate and bounce off objects and materials. Experiments with 15 types of objects and six types of bags demonstrated detection accuracy rates of 99 percent for dangerous objects, 98 percent for metal and 95 percent for liquid. For typical backpacks, the accuracy rate exceeds 95 percent and drops to about 90 percent when objects inside bags are wrapped.
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/鍖orida- school-shooting-clear-backpacks.html, 2018. https://ieeexplore.ieee.org/document/8433142