| Issue |
ITM Web Conf.
Volume 32, 2020
International Conference on Automation, Computing and Communication 2020 (ICACC-2020)
|
|
|---|---|---|
| Article Number | 03045 | |
| Number of page(s) | 4 | |
| Section | Computing | |
| DOI | https://doi.org/10.1051/itmconf/20203203045 | |
| Published online | 29 July 2020 | |
DROWSINESS DETECTION AND MONITORING SYSTEM
Dept. of electronics and Telecommunication, Ramrao Adik Institute of Technology, Nerul, Navi Mumbai, India
Dept. of electronics and Telecommunication, Ramrao Adik Institute of Technology, Nerul, Navi Mumbai, India
Dept. of electronics and Telecommunication, Ramrao Adik Institute of Technology, Nerul, Navi Mumbai, India
Dept. of electronics and Telecommunication, Ramrao Adik Institute of Technology, Nerul, Navi Mumbai, India
Dept. of electronics and Telecommunication, Ramrao Adik Institute of Technology, Nerul, Navi Mumbai, India
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Wakefulness of a driver is an extremely important factor that needs to be continuously monitored.. A drowsy driver can be a cause of several mishaps and accidents on highways which could lead to loss of money, physical injuries, and the most important, loss of human life. Drowsiness detection system is a car safety technology that helps to prevent and thus reduce accidents caused by the driver getting drowsy. The system is designed for four-wheeler vehicles (or more) wherein the driver’s fatigue or drowsiness is detected and alerts are generated. The proposed method will use a USB camera that captures the driver’s face and eyes and processes the images to detect the driver’s fatigue. On the detection of drowsiness, the programmed system cautions the driver through an alarm to ensure vigilance. The proposed method consists of various stages to determine the wakefulness of the driver.
Key words: Internet of Things / Cloud Computing / Image Processing / Machine Learning / Computer Vision
© The Authors, published by EDP Sciences, 2020
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