Detection of Trapped Victims in Disaster Scenarios Using IoT: An IoT Based System to Detect the Trapped Victims in Disaster Scenarios using Doppler Microwave and Passive Infrared Technology
The disasters are very hard to control and hard to save the people who are trapped under the rubbles apart from the damages caused. The presented work provides a highly sophisticated method for rescuing trapped victims during the disaster. The main objective is to communicate the information from different sensors to the webserver using the Internet of Things (IoT). The sensor modules used in the system are Microwave Doppler Radar Sensor, PIR Sensor, Bomb sensor, and Gas sensor. This book comprises eight chapters that are ...
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The disasters are very hard to control and hard to save the people who are trapped under the rubbles apart from the damages caused. The presented work provides a highly sophisticated method for rescuing trapped victims during the disaster. The main objective is to communicate the information from different sensors to the webserver using the Internet of Things (IoT). The sensor modules used in the system are Microwave Doppler Radar Sensor, PIR Sensor, Bomb sensor, and Gas sensor. This book comprises eight chapters that are focused on the design of an IoT based system to detect trapped victims in disaster scenarios using Doppler microwave and passive infrared technology. Chapter 1 presents the introduction of the proposed system. Chapter 2 intends to review the published works regarding rescue operations in a disaster zone. Chapter 3 deals with the design and the real-time implementation of hardware for the detection of trapped victims in disaster scenarios. Chapter 4 presents the hardware detail and its working principles. Chapter 5 covers a methodology to develop source code for the entire system implementation. Chapter 6 is showing the simulation results of the discussed rescue operation. The rest of the chapters describe the future enhancement and conclusion of the proposed system.
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