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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM54747
Volume:
9 |
11 |
Nov 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 paper introduces AcciTrack: Real-time Monitoring, Proactive Alerts and Safer Roads an intelligent system that monitors drivers to detect signs of drowsiness, yawning and distraction using artificial intelligence. The system works in real time and uses computer vision, deep learning and cloud-based logging to analyze a driver’s face and behavior without needing special hardware sensors. The key parts of this system include MediaPipe, Face Mesh for identifying facial landmarks, YOLOv8 for recognizing distractions based on objects and threshold-based EAR and MAR algorithms for checking fatigue. AcciTrack provides visual, audio and SMS alerts, and logs events into Supabase Cloud for further analysis. Results show high detection accuracy, fewer false alarms and better road safety by helping identify unsafe driving behavior early.
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Publication Date
1/11/2025
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.
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