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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM20287

Accident Detection System

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM20287

Volume:

7 |

4 |

Apr 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

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

PRT

Prof Reji Thomas1

SAR

Sanghavi A R2

SS

Sandhya S3

SS

Subhashini S4

UK

Usha K5

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Abstract

In today’s fast-paced world, road accidents have become one of the leading causes of sudden fatalities due to delayed emergency response and lack of immediate medical assistance. The Help-X system is designed to address this issue through an AI-based intelligent crash detection and emergency dispatch framework. It utilizes real-time data from vehicle sensors, including accelerometers and gyroscopes, to automatically detect collision impact and severity. Once an accident is confirmed, the system instantly transmits the vehicle’s GPS coordinates and incident data to nearby emergency services, hospitals, and registered contacts, significantly reducing response time. The architecture integrates IoT technology, cloud-based data processing, and mobile communication to ensure reliability and scalability. Additionally, a manual SOS trigger enables users to request help during non-collision emergencies. The Help-X system demonstrates how the combination of AI, IoT, and cloud computing can create an efficient, life- saving solution capable of providing real-time crash alerts and ensuring faster medical intervention.

KEYWORDS

AI-based emergency response IoT crash detection real-time alert system GPS tracking accident severity detection intelligent dispatch cloud computing Help-X framework.

Cite This Article

Prof Reji Thomas1, Sanghavi A R2, Sandhya S3, Subhashini S4, Usha K5, "Accident Detection System," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 4, Apr 2023. https://doi.org/10.55041/IJSREM20287

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Publication Date

11/13/2025

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Double-Blind Peer Review

Review Rounds: 2

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0

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2

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5

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

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No funding information available for this research.

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