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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM20287
Volume:
7 |
4 |
Apr 2023
Pages:
Publication Frequency:
Monthly (12 issues per year)
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.
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
Publication Date
11/13/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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