Wi-Fi signals from regular Wi-Fi devices can be used to detect suspicious objects such as bombs and weapons in bags and baggage in schools, stadiums, museums, shopping malls or other public spaces.
Researchers at Rutgers University said they have developed and tested such systems, reaching detection rates of over 90% for suspicious objects hiding in different types of containers.
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Their systems operate using radio signals called CSI (Channel State Information). The CSI signal is part of the Wi – Fi protocol and is used to record general information on Wi – Fi signal status.
Rutgers' team used CSI data to discover that Wi – Fi signals that bounced or passed through objects in a room or square could determine the nature and size of that object.
They believe that this data is suitable for use in systems like scanners looking for potentially dangerous objects, such as various types of liquid containers that are commonly found in weapons such as portable bombs, knives, weapons fires, grenades It is said to be sufficiently accurate.
"Extensive experience [were] We carried out with 15 types of metal and liquid objects and 6 kinds of bags for 6 months, "said Rutgers researcher.
The research team recorded detection accuracy of 99% of dangerous goods, 98% of metal goods and 95% of liquid containers.
"With traditional backpacks, the accuracy exceeds 95%, packaging the items in the bag will decrease to around 90%," researchers said.
This method has advantages and disadvantages. The main advantage is accessibility.
This detection system does not rely on the use of custom or very expensive hardware. It's enough, as normal Wi-Fi equipment can not be seen.
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Wi-Fi devices with 2 to 3 antennas have more capabilities than performing scanning procedures. This device can be integrated into an existing Wi – Fi network and installed near the access door or entrance gate, you can scan people entering the building.
When a Wi – Fi device detects some model of CSI signal, it can alert the nearby laptop.
The disadvantage is that this system does not generate a visual representation of suspicious objects detected, as generated by CT and X-ray scanners found at the airport. It has at least one staff member …
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