Life Detection System during Natural Calamity
| Autor: | Saurabh Kr. Srivastava, Pooja Garg |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Computer science
business.industry Acoustics 02 engineering and technology Natural (archaeology) Metal Software 020204 information systems visual_art 0202 electrical engineering electronic engineering information engineering visual_art.visual_art_medium Global Positioning System Metre 020201 artificial intelligence & image processing Ultrasonic sensor business Telecommunications |
| Zdroj: | 2016 Second International Conference on Computational Intelligence & Communication Technology (CICT). |
| DOI: | 10.1109/cict.2016.125 |
| Popis: | In this research we try to identify the human life inside debris in case of natural calamity. Here we are using acoustic sensors as an input and the reflected waves identify life of human being. The sensor is based on the concept of transmitting ultrasonic waves and analyzing the reflected waves to detect the motion of human body parts like lungs. It follows an incremental procedure as the transmitted frequency is incremented with each consecutive meter which is scanned for detecting human life. The depth of the buried individual is estimated on the basis of frequency emitted at that time stamp. The location coordinates are also achieved by using GPS device with the instrument. The gathered data is plotted live over the map by using softwares like Google Earth which provides it globally to fetch more help for victims. Advantages of acoustic sensors over sensors based on microwave radar technology are: sound can penetrates metal walls, and acoustic sensors are sensitive to slow motions, and so can detect stationary persons by breathing motion alone. The other advantage includes low cost and portability. |
| Databáze: | OpenAIRE |
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