Location Tracking and Forensic Analysis of Criminal Suspects’ Footprints

Abstract

Police often use location tracking technologies to monitor or track the locations of suspects. In densely populated urban areas, wireless positioning is often unable to retrieve the exact locations of suspects. This paper presents a passive location tracking system by using low-cost IoT devices to predict the footprints of suspects. When the IoT devices capture wireless signals, they can upload the observation data to a cloud server. The cloud server can quickly analyze and locate the footprints of the suspect.