General

Weapons, Bombs Easily Detected by Wi-Fi: Study

Author : NewsGram Desk

Interestingly, ordinary Wi-Fi can easily identify weapons, bombs and explosive chemicals in bags just anywhere, be it a crowded stadium, or museums, theme parks, schools and other public spaces, a new study reveals.

The researchers' suspicious detection object 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 generally requires high staffing levels and costlier specialized equipment.

"This could have a great impact in protecting the public from dangerous objects. There's a growing need for that now", said study author, Yingying Chen.

Wi-Fi, or wireless, signals in most public places can penetrate bags, Pixabay

The study reveals that Wi-Fi, or wireless, signals in most public places can penetrate bags to get the dimensions of dangerous metal objects and detect them, including weapons, aluminium cans, laptops and batteries for bombs. Wi-Fi can also be used to estimate the volume of liquids such as water, acid, alcohol and other chemicals for explosives.

This low-cost system requires a Wi-Fi device with two to three antennas and can be integrated into existing Wi-Fi networks. The system analyzes what happens when wireless signals penetrate and bounce off objects and materials.

Experiments were done with 15 types of objects and six types of bags demonstrating 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.

"We wanted to develop a complementary method to try to reduce manpower," concluded Chen. VOA

"In large public areas, it's hard to set up expensive screening infrastructure like what's in airports. Manpower is always needed to check bags and we wanted to develop a complementary method to try to reduce manpower," concluded Chen.

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

The study was performed at Rutgers University, New Brunswick. It also received the best paper award at the 2018 IEEE Conference on Communications and Network Security on cybersecurity. (IANS)

Subscribe to our channels on YouTube and WhatsApp

Download our app on Play Store

Russia's Parliamentary Vote Ends As Moscow, Kyiv Continue Fighting

Meet Oriana Fallaci: The Italian Journalist Who Removed Her Chador in Front of Iran’s First Supreme Leader, Ruhollah Khomeini, and Told Him, “I’m Going to Take Off This Stupid, Medieval Rag Right Now”

‘UP Will Be Divided Into Four Parts’: Om Prakash Rajbhar Revives Demand For 4-Way Uttar Pradesh Division, Says Purvanchal Will Get ‘Rajbhar CM’

When PM Modi Joked About Giving “Half of Gujarat” to His Childhood Friend Daulat Khan Pathan in 2009

From Taking Up Judo After Being Harassed at 12 to Winning India's First MMA Medal: How Suchika Tariyal Scripted History at 2026 Asian Games