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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM49834
Volume:
9 |
6 |
Jun 2025
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.
As technology advances, addressing road safety issues remains a growing concern. Drunk driving continues to be a leading cause of traffic accidents. Our project introduces a GSM-based alcohol detection and accident alert system that detects alcohol consumption in drivers, identifies the level of alcohol intake, and sends automated call and message alerts to emergency contacts. The system also includes an accident detection module that triggers alerts in the event of a crash. This enhances real-time monitoring and emergency responsiveness. The system uses sensors to detect alcohol levels in the driverâs breath and identify if they exceed the legal limit. A GSM module facilitates instant communication by calling and messaging stored emergency numbers. An accelerometer detects accident events and ensures timely alerts. The proposed system offers a low-cost, scalable solution for improving road safety and reducing accident fatalities. Its integration with vehicles enhances safety, especially in rural and urban transit systems.
KEYWORDS
Publication Date
6/11/2025
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.
Funding Information
No funding information available for this research.
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