UGC Approved Journal no 63975(19)

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

Volume 6 Issue 3
March-2019
eISSN: 2349-5162

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

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Unique Identifier

Published Paper ID:
JETIRAR06002


Registration ID:
201242

Page Number

7-11

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Title

Artificial Intelligence for Accident Detection and Response

Abstract

In a today’s life we see everywhere like newspaper, TV news that the death of peoples due to accident .The rate of death due to road accident is increased tremendously ,especially accident occurred on highways and some are at the nights due to lack of sufficient light. The always advancing technology has created our day to day lives easier. The rise in technology has exaggerated the rate of road accidents that causes loss of life. The poor emergency facilities out there in our country simply boost this downside. There are no proper precautions to reduce the accidents in our country. So, in our project is going to provide a solution to these problems. According to our project when a vehicle meets with an accident or also providing the accident prevention before its occurring, a sensor situated on the vehicle will detect it immediately and send a message to the microcontroller. The microcontroller then sends the alert message with the help of GSM modem to a police control room or rescue team which will include the location with the help of GPS. Also the alert message containing the situation of accident are going to be send to the relatives of the victim. In case there is no casualty the driver can terminate the alert message by a switch provided in the vehicle. This will save the valuable time of rescue team. Our project is beneficial for detecting the accident exactly with the assistance of sensors and microcontroller. Keeping in mind the scope for improvement, we can add a wireless webcam which will capture the images at the time of accident which will help in providing accurate help to the victim as quick as possible. It may be interfaced with vehicle airbag system and a bomb detector.

Key Words

Sensor, microcontroller, GPS module, GSM module, alert message.

Cite This Article

"Artificial Intelligence for Accident Detection and Response", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.7-11, March-2019, Available :http://www.jetir.org/papers/JETIRAR06002.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

"Artificial Intelligence for Accident Detection and Response", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp7-11, March-2019, Available at : http://www.jetir.org/papers/JETIRAR06002.pdf

Publication Details

Published Paper ID: JETIRAR06002
Registration ID: 201242
Published In: Volume 6 | Issue 3 | Year March-2019
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.20232
Page No: 7-11
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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