Driver Drowsiness Detection (SLEEP GUARDIAN)

Drowsiness detection system can detect the possibility of sleep using AI. Drowsiness detection systems have gained significant attention in recent years due to their potential to enhance road safety and prevent accidents caused by driver fatigue. A dedicated eye tracking module monitors eye movement and blink frequency to detect signs of fatigue. This drowsiness detection system will work on dataset in the first stage comparing with the base research paper , showing its advantages and the next stage how 2 or more different modules can be clubbed together to make it a ready to run in today’s scenario with all the different problems with the highest efficiency . Making this system in python gives a wide range of options to explore , help to reach open cv libraries where we can use different types of data set and check whether the driver is awake or not.

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2024-11-20
DOI
https://doi.org/10.22214/ijraset.2024.65023
Citations
2
Primary Topic
Sleep and Work-Related Fatigue
Type
article
Field-Weighted Citation Impact
1.02
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article

Driver Drowsiness Detection (SLEEP GUARDIAN)

Vishal Pandey
2 citations
International Journal for Research in Applied Science and Engineering Technology
Sleep and Work-Related Fatigue
1.02
article

Driver Drowsiness Detection (SLEEP GUARDIAN)

Vishal Pandey
article en
2 citations

Abstract

Drowsiness detection system can detect the possibility of sleep using AI. Drowsiness detection systems have gained significant attention in recent years due to their potential to enhance road safety and prevent accidents caused by driver fatigue. A dedicated eye tracking module monitors eye movement and blink frequency to detect signs of fatigue. This drowsiness detection system will work on dataset in the first stage comparing with the base research paper , showing its advantages and the next stage how 2 or more different modules can be clubbed together to make it a ready to run in today’s scenario with all the different problems with the highest efficiency . Making this system in python gives a wide range of options to explore , help to reach open cv libraries where we can use different types of data set and check whether the driver is awake or not.

International Journal for Research in Applied Science and Engineering TechnologyVol. 12(11)
Good health and well-being
Openalex Percentile: Top 20%
Sleep and Work-Related Fatigue
1.02
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