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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM14388

Dashboard for Accident Detection using IOT

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM14388

Volume:

6 |

6 |

Jun 2022

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM14388

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

DHBG

Dr. Harish B G

SAS

Shriraksha A S

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Abstract

With an increase in population, there is an increase in the number of road accidents. These are unpredictable and situations could not be reported to nearby hospitals on time. In most of the cases, the lack of unavailability of emergency services and providing the first aid along with timely service can lead to the loss of life. Hence, there is a need to develop a system that caters to all these problems. This work is to construct a system that detects road accidents and pass the information to the concerned for medical treatment. The developed system uses Internet of Things (IoT) to detect the accident and notification with the use of integrated smart sensors, GPS, a microcontroller fixed in the vehicle modules that can trigger at the time of an accident. With the help of LoRa (Low Power and Long Range Technology) open frequency band the road accident information is sent to centralized server , Where information is saved in the form of records which display information like vehicle number, geo location in the dashboard. Later this information is fetched by concerned authorities and immediate ambulance service is provided for medical treatment. The main aim of this project is to detect road accident and to inform the concerned authorities for emergency medical services.

KEYWORDS

IoT(Internet of Things) LoRa(Low power and Long range) Gps module Sensors Dashboard web server

Cite This Article

Dr. Harish B G, Shriraksha A S, "Dashboard for Accident Detection using IOT," International Journal of Scientific Research in Engineering and Management, vol. 6, no. 6, Jun 2022. https://doi.org/10.55041/IJSREM14388

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Publication Date

10/5/2022

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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