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September 10, 2025International Journal for Research in Applied Science and Engineering Technology0 citations

Smart Driver Alert: AI-Driven Perception System for Drowsiness Detection

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AHAmanullah Hidayathullah

Key Points

  • The system detects drowsiness in drivers, leading to timely alerts that can prevent accidents.
  • Testing with publicly available datasets showed that the system provided reliable accuracy across different conditions.
  • Using quick detection methods combined with modern learning algorithms, the system identifies fatigue signs effectively.
  • This approach highlights the importance of addressing driver fatigue, a significant contributor to road accidents.

Abstract

Driver fatigue is a hidden but serious cause of road accidents, often leading to severe injuries or fatalities. This study introduces a computer-based monitoring system that observes the driver’s face in real time to identify early signs of tiredness. The design blends quick, traditional detection methods with modern learning algorithms to analyze expressions and movements, such as frequent blinking, eye closure, and yawning. If the system recognizes a risk, it instantly sends a warning to the driver. Testing with different publicly available driver datasets shows that the approach works quickly and maintains reliable accuracy under a range of conditions.

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Cite This Study

Amanullah Hidayathullah (2025) studied this question.

synapsesocial.com/papers/68c198b59b7b07f3a061a06chttps://doi.org/10.22214/ijraset.2025.74069
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Real-Time Driver Fatigue Detection for Enhanced Road Safety2025
  2. 2Project Awakesure: Intelligent Drowsiness Detection Using Eye Tracking2024
  3. 3DESIGN AND IMPLEMENTATION OF A ROBUST DRIVER DROWSINESS DETECTION SYSTEM2026
  4. 4Driver Drowsiness Detection using Machine Learning and Deep Learning2024 · 1 citations
  5. 5Driver Drowsiness Detection System Using Multi-Factor Detection2026