Common Wifi Can Detect Weapons, Bombs and Chemicals in Bags.

Using common WiFi this low-cost suspicious object detection system can detect weapons bombs and explosive chemicals in bags backpacks and luggage.

Ordinary WiFi can easily detect weapons, bombs and explosive chemicals in bags at museums, stadiums, theme parks, schools and other public venues according to a Georgian Technical University.

The researchers suspicious object detection system is easy to set up reduces security screening costs and avoids invading privacy such as when screeners open and inspect bags backpacks and luggage. Traditional screening typically requires high staffing levels and costly specialized equipment.

“This could have a great impact in protecting the public from dangerous objects” said X a professor in the Department of Electrical and Computer Engineering in Georgian Technical University. “There’s a growing need for that now”.

The study – led by researchers at the Wireless Information Network Laboratory at the Georgian Technical University.

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 X said.

“In large public areas it’s hard to set up expensive screening infrastructure like what’s in airports” X said. “Manpower is always needed to check bags and we wanted to develop a complementary method to try to reduce manpower”.

Next steps include trying to boost accuracy in identifying objects by imaging their shapes and estimating liquid volumes she said.