TY - GEN
T1 - IoT Based Robot System for Human Detection During Disaster
AU - Teja, N. Sai Siva
AU - Mahendra Reddy, B.
AU - Obulesh, G.
AU - Vaishnav, P.
AU - Kundhan, T.
AU - Sapna, R.
AU - Preethi, null
N1 - Publisher Copyright:
© 2024 American Institute of Physics Inc.. All rights reserved.
PY - 2024/2/13
Y1 - 2024/2/13
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85185773212
UR - https://www.scopus.com/pages/publications/85185773212#tab=citedBy
U2 - 10.1063/5.0184522
DO - 10.1063/5.0184522
M3 - Conference contribution
AN - SCOPUS:85185773212
T3 - AIP Conference Proceedings
BT - AIP Conference Proceedings
A2 - Balamuralitharan, S.
A2 - Begum, Naziya
A2 - Iyer, Sailesh
A2 - Kumar, Anuj
PB - American Institute of Physics Inc.
T2 - 1st International Conference on Engineering, Medicine, Management, Arts and Sciences 2021, EMMA 2021
Y2 - 29 December 2021 through 31 December 2021
ER -