UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 8
August-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2208399


Registration ID:
501144

Page Number

d903-d906

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Title

Accident Detection and Smart Ambulance Management System

Abstract

Emergency situations like accidents require immediate. With the increase in the number of vehicles on the road the accidents are also increasing. In such situations it is very difficult to identify the person if the accidents are serious. Prior knowledge of the medical case history of the person can be beneficial in providing proper and quick treatment to such victims in case of serious emergency conditions. However in current approaches there is no access to the victims or patients case history which delays in proper treatment and can lead to even loss of life of the patient. This project deals with the development of smart ambulance kit for real- time retrieval of personal information and medical case history during emergency conditions using biometric verification and IOT based user access system. The proposed project deals with the development of IOT connected smart ambulance kits which can be installed in ambulance or emergency vehicles. In case of emergency conditions such as accidents, the victims finger is placed on the kit present in the ambulance. The smart kit checks for the victims fingerprint and fetches the user case history along with personal details, emergency contact number, medical case history and other vital details and displays it on the display interfaced with the smart kit. Additionally when the fingerprint is placed the smart medical kit automatically informs the family members regarding the accident and the shares them the live link to track the ambulance. The system simultaneously sends IOT notification to the doctors of the hospital prior to the arrival of the patient so that the doctors can be prepared to treat the patient before the patients arrive at the hospital.

Key Words

Key words –Raspberry Pi, Finger print sensor, GPS Modem, GSM Modem.

Cite This Article

"Accident Detection and Smart Ambulance Management System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 8, page no.d903-d906, August-2022, Available :http://www.jetir.org/papers/JETIR2208399.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Accident Detection and Smart Ambulance Management System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 8, page no. ppd903-d906, August-2022, Available at : http://www.jetir.org/papers/JETIR2208399.pdf

Publication Details

Published Paper ID: JETIR2208399
Registration ID: 501144
Published In: Volume 9 | Issue 8 | Year August-2022
DOI (Digital Object Identifier):
Page No: d903-d906
Country: ta hukkeri, di-belagavi, karnataka, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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