Implementation of Smart Rescue Operations and Adversity Managing System using the Internet of Things and Sensors
J L Mazher Iqbal1, Y Aparna2
1J L Mazher Iqbal, Professor, Departmnet of ECE, Embedded Systems & Technology, Vel Tech Rangarajan Dr. Sagunthala R and D Institute of Science and Technology, Avadi, Chennai (Tamil Nadu), India.
2Y Aparna, M.Tech, Embedded Systems & Technology, Vel Tech Rangarajan Dr.Sagunthala R and D Institute of Science and Technology, Avadi, Chennai (Tamil Nadu), India.
Manuscript received on 26 March 2019 | Revised Manuscript received on 07 April 2019 | Manuscript Published on 18 April 2019 | PP: 853-856 | Volume-7 Issue-6S March 2019 | Retrieval Number: F03720376S19/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Certain situations are very tough for human beings to approach immediately such as storms, floods, earthquakes, jungle fires, and explosions etc. These circumstances cause excessive destruction and human misery. The rescue of victims is a very challenging task and to be addressed as early as possible. In the area of rescue and adversity managing embedded system, very few contributions by the scientific community compared to other embedded systems. The disasters and rescue operations are not effective irrespective of advances in technology all over the world. In this article, we propose a sophisticated embedded system with essential sensors such as PIR Sensor, Ultrasonic Sensor, Accelerometer and Sound sensor. The proposed system collects data from the intended location and sends this data to a distant location using ZigBee S2C module wireless technology and then through the Internet of Things (IoT). This system can be integrated with Unmanned Aerial Vehicle (UAV) and capture the essential information in the hard to reach areas during adversities. This gathered information will assist rescue operation team post-disaster.
Keywords: Sensors, Internet of Things (IoT), Unmanned Aerial Vehicle (UAV).
Scope of the Article: Internet of Things