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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM39738
Volume:
8 |
12 |
Dec 2024
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.
The Driver Monitoring and Assistance System seeks to improve road safety by keeping an eye on driver behavior and warning drivers of possible hazards using deep learning. The system recognizes symptoms of weariness and tiredness and warns the driver when they start to nod off while operating a vehicle. Additionally, it identifies accidents and notifies emergency contacts, police stations, and ambulances. The technology recognizes significant traffic signs with the help of CNN and SVM employs facial analysis to track the driver’s current status, alerting the driver to critical information. To keep the driver awake and focused, the system plays audio alarms if they appear distracted or sleepy. This technology helps prevent collisions and maintains safer roads for all users by addressing common causes of accidents.
KEYWORDS
Publication Date
12/18/2024
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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