(ICIOT 2020) A WiVi based IoT Framework for Detection of Human Trafficking Victims kept in Hideouts

Abstract: Human trafficking is the trade of humans for the purpose of forced labor, sexual slavery, or commercial sexual exploitation for the trafficker or others. The traffickers often trick, defraud, or physically force victims into selling sex and forced labor. In others, victims are lied to, assaulted, threatened, or manipulated into working under inhumane, illegal, or otherwise unacceptable conditions. According to the estimation of the International Labor Organization, there are more than 40.3 million victims of human trafficking globally. It is a threat to the Nation as well as to humanity. There have been many efforts by government agencies NGOs to stop human trafficking and rescuing victims, but the traffickers are getting smarter day by day. From multiple sources, it is observed that the traffickers generally hide humans in hidden rooms, sealed containers, and boxes disguised as goods. This congestion results in Critical mental and physical damages in some cases. It is practically impossible to physically go and check each box, containers or rooms. So in this paper, we propose a Wireless Vision-based IoT framework, which uses the reflection of WiFi radio waves generated by WiFi to detect the presence of humans inside a cement or metal enclosure from outside.

Authors: Amir H Gandomi (University of Technology Sydney, Australia)

Email: a.h.gandomi@gmail.com