Regular old WiFi spots dangerous objects in bags

Futurity  August 16, 2018
A team of researchers in the US (Rutgers University, Indiana University, Binghamton University) have developed a system which detects the existence of suspicious objects and identifies the material type based on the reconstructed CSI complex value (including both amplitude and phase information); it then determines the risk level of the object by examining the object’s dimension (i.e., liquid volume and metal object’s shape) based on the reconstructed CSI complex of the signals reflected by the object. In tests the system was able to detect over 95% suspicious objects in different types of bags and successfully identify 90% dangerous material types. The system can achieve the average errors of 16ml and 0.5cm when estimating the volume of liquid and shape (i.e., width and height) of metal objects, respectively… read more. Open Access TECHNICAL ARTICLE