Scholarlink

The Drowsy Driver Detection system is about generating warnings/notifying danger by providing some sound to drivers and allowing them to take corrective action such as pulling over and resting. These systems are an important component of road safety and can help to reduce the risk of accidents caused by driver extreme tiredness or exhaustion. This system employs a variety of sensors and technologies to monitor driver behavior and includes infrared cameras tracking eye movement and facial expressions, and lane departure warning systems. With the help of some modern techniques like OpenCV (Computer vision), SVM (Support vector machine), and Gradient descent models of ML (Machine Learning), we will be working on this project.

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Mitigating Driver Fatigue: A Multisensory Approach with Advanced Machine Learning Techniques

  • 会议论文

  • 发表日期：

    2026年

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  • Arika Asha Susmitha,
  • Gopu Akshay,
  • Marri Sahasra Reddy,
  • Pavan Kumar Pagadala,
  • Chanda Raj Kumar,
  • Sree Lakshmi Pinapatruni

摘要

The Drowsy Driver Detection system is about generating warnings/notifying danger by providing some sound to drivers and allowing them to take corrective action such as pulling over and resting. These systems are an important component of road safety and can help to reduce the risk of accidents caused by driver extreme tiredness or exhaustion. This system employs a variety of sensors and technologies to monitor driver behavior and includes infrared cameras tracking eye movement and facial expressions, and lane departure warning systems. With the help of some modern techniques like OpenCV (Computer vision), SVM (Support vector machine), and Gradient descent models of ML (Machine Learning), we will be working on this project.