Development of a distributed disaster data and human life sign probe system

Abstract : This paper deals with a novel sensor network system designed for gathering disaster information including physical environmental information and potential signals of survivers. The system consists of numerous sensor probes and a central database server. The sensor probes organize their own ZigBee network, which is managed by the central database server. The server is connected to the Internet to be able to provide total disaster information worldwide. In this paper, the authors introduce their development and show some basic performance test to verify its potential usability.

 EXISTING SYSTEM :

 ? Existing earthquake building codes are not applied and the preparedness and the operational crisis coping and response capacity of the government regarding earthquakes is still in its initial stages. ? In the immediate aftermath of disasters, existing emergency telecommunication services might be adversely affected due to physical damage of such infrastructures. ? Floods near industrial areas may cause technological hazards like explosions, fires, etc. Earthquakes may provoke subsequent landslides, liquefaction, tsunami etc. ? These disasters cause immense losses of lives and damage to properties, livelihoods and economic infrastructure.

 DISADVANTAGE :

 ? There are some problems which should be lightened up in future as cost for the deployment of the large-scale IoT reliable sensor must be of low cost. ? Disaster management was difficult to conduct, but the three major problems are security requirements, connectivity standards, and identity standards that need to go along with the distribution of its meaning of IoT Technologies. ? With the control of tracking research and predictive elements of multiple incidents, all the topics were addressed earlier, as most approaches allow a seamless aggregation of problems in catastrophe events.

 PROPOSED SYSTEM :

 • The proposed system uses image sequences captured by a drone camera to remotely detect the cardiopulmonary motion caused by periodic chest movement of survivors. • However, their proposed approach was limited to a fully visible subject and a limited range of poses such as standing or walking. • The proposed GUI provides an easy tool to see video information, the selected ROI, input signal, denoised/smoothed signal, and number of peaks. • The proposed system may fail in some environmental conditions and no life detection was attempted in that study.

 ADVANTAGE :

 ? It is the need of possibility for selection of the data mining algorithm which will improve the performance of the IoT based on system. ? In this sense, the good grid model is efficient utilizing various renewable energy generators to satisfy native energy demands. ? Satellite imagery fire monitoring is a common technique, but long scanning times and low contrast will limit the efficacy of the satellite fire detection method. ? The Internet cloud is used to relay the message more effectively and time-efficiently by using the Internet cloud to enforce the IoT here, where objects are connected to the Internet and to other items or objects without human growth.