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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM48922
Volume:
9 |
5 |
May 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.
This project presents the development of a smart vehicle safety system designed to enhance road safety, discourage drunk and rash driving, and reduce the chances of vehicle theft. The system integrates multiple components to monitor and respond to unsafe driving conditions. An MQ3 alcohol sensor is used to detect the presence of alcohol in the driver’s breath. If the alcohol level crosses a safe threshold, the system sends an alert and prevents the engine from starting. To identify rash driving, the system uses accelerometers and gyroscopes to track the vehicle’s motion. If abnormal or risky movements are detected, the engine is automatically locked to avoid potential accidents. Additionally, a GPS module continuously tracks the real-time location of the vehicle. In case of emergencies, accidents, or theft, the system shares the vehicle’s location with pre-registered contacts or authorities. By combining these features, the system helps ensure safer driving, faster emergency responses, and better vehicle security.
KEYWORDS
Publication Date
5/29/2025
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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