Identification of Living Human Objects from Collapsed Architecture Debris to Improve the Disaster Rescue Operations Using IoT and Augmented Reality

Abstract

With the fast urbanization cities are getting dense, demand of finding place to live is increasing tremendously. To fulfill the demand of availing the houses quickly the construction team and builders are putting pressure in construction work. Resulting high probability of errors in construction, which leads to accidents like architecture collapse. Bad construction quality, age of building, overload, fire, lack of maintenance, bad engineering are key man made error reasons for buildings getting collapsed. Apart from them, seismic forces like earthquake also affect the stability of buildings and collapse them if they are not designed for the earthquake magnitude of accelerations occurring. Collapsed building is a critical and complex maze for disaster rescue team, from the debris of building their key responsibility is to save the people. The rescue operation of a collapsed building area can get executed in a day to several days and this increases the chances of trapped people losing their lives. The key problem in performing the rescue starts with search and analysis of field and identification of trapped people location. In this paper we are presenting an innovative and futuristic way to perform the rescue of human survivors using Internet of things, drones and augmented reality. IOT based network like fitness bands will be equipped with disaster mode, drones will be equipped with BLE based transmitter/receiver. With the help of Drones and IOT bands, human tracking system can plot the 3D rendering of collapsed building area virtual map and highlight the trapped human survivors’ location in an Augmented Reality view. This method of rescue will bring the technical advancement and increase efficiency of rescue operations, results in saving human lives.