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IoT Based Robot System for Human Detection During Disaster

  • N. Sai Siva Teja
  • , B. Mahendra Reddy
  • , G. Obulesh
  • , P. Vaishnav*
  • , T. Kundhan
  • , R. Sapna
  • , Preethi
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Natural mishaps such as earthquakes, debris, floods, tsunami, avalanche and man-made mishaps such as explosive blasts, building breakdowns happen over and over again. These calamities abruptly occur and have very little means to prevent and have no pattern of occurrence to predict. Though we cannot prevent it, the idea of intelligent rescue processes in these tough times would help saving life and material. Many a time, human bodies are buried in the middle of the debris and it turns out to be difficult to identify them. Manual rescue detection with the police force, firefighters and associated medical amenities is laborious and takes lots of time. Putting their life at stake, these human rescuers should make judgments in haste under stress and put efforts to identify and rescue the victims. They need to figure out the place, position of preys and the firmness of the constructions at the earliest, subsequently that medics and firefighters reach the calamity location and protect the victims. Our paper proposes an intelligent mobile robot that can travel in an area susceptible to calamity to detect alive people and perform rescue operations using a Passive Infra-Red (PIR) sensor. Radio Frequency Identification Tag Reader is used to read the RFID number, LM35 temperature sensor to sense the surrounding temperature and GSM technology is used to connect the android.

Original languageEnglish
Title of host publicationAIP Conference Proceedings
EditorsS. Balamuralitharan, Naziya Begum, Sailesh Iyer, Anuj Kumar
PublisherAmerican Institute of Physics Inc.
Edition1
ISBN (Electronic)9780735448490
DOIs
Publication statusPublished - 13-02-2024
Event1st International Conference on Engineering, Medicine, Management, Arts and Sciences 2021, EMMA 2021 - Virtual, Online, India
Duration: 29-12-202131-12-2021

Publication series

NameAIP Conference Proceedings
Number1
Volume2742
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference1st International Conference on Engineering, Medicine, Management, Arts and Sciences 2021, EMMA 2021
Country/TerritoryIndia
CityVirtual, Online
Period29-12-2131-12-21

All Science Journal Classification (ASJC) codes

  • General Physics and Astronomy

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