Engineers Discovered Most Cheapest Way To Detect Bombs And Explosives

You might be using WI-Fi usually as a way to connect to the internet and access  respective sites and probably be wasting your time on social media.

But soon, that same technology could also keep you safe in real-life public areas.

According to a peer-reviewed study led by researchers from Rutgers University-New Brunswick, ordinary Wi-Fi can effectively and cheaply detect weapons, bombs, or explosive chemicals contained within bags.

The study earned the researchers a best paper award at the 2018 IEEE Conference on Communications and Network Security, which focused solely on cybersecurity.



According to the researchers’ paper, most dangerous objects contain metals or liquids.

Those materials interfere with Wi-Fi signals in a way that researchers can detect. And the baggage a person might use to contain a bomb, weapon, or explosive device is typically made of materials — paper or fiber, often — through which Wi-Fi signals pass easily.

For their study, the researchers built a Wi-Fi weapon detection system that could analyze what happened to Wi-Fi signals as they encountered a nearby object or material.

When they tested their system on 15 types of objects and six types of bags, they found that it could distinguish dangerous objects from non-dangerous ones 99 percent of the time.

It could identify 90 percent of dangerous materials, accurately identifying metals 98 percent of the time, and liquids 95 percent of the time.

The bag the object was in presented another variable. If the object was in a standard backpack, the system could detect that object with a 95 percent accuracy rate.

If it was wrapped in something else before being put in the bag, though, that figure dropped to 90 percent.

Currently, most airports in the U.S. use X-ray or CT scanning technology to check luggage for suspicious items. These instruments are expensive and hard to implement in large public areas. So many security teams in public venues have to rely on manual bag checks, even though they aren’t always as effective.

“In large public areas, it’s hard to set up expensive screening infrastructure like what’s in airports,” study co-author Yingying (Jennifer) Chen said in a press release.

“Manpower is always needed to check bags, and we wanted to develop a complementary method to try to reduce manpower.”

For now, the team plans to focus on improving the accuracy of its Wi-Fi weapon detection system so that it can better detect an object’s shape, and modifying it to estimate the volume of liquids contained within bags.

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