Drowsy Driver Warn System Using OpenCV

The "Drowsy Driver Alarm" project leverages cutting-edge machine learning and face recognition technologies to address the critical issue of driver drowsiness on the road. Drowsy driving is a major cause of accidents and fatalities worldwide, highlighting the urgent need for effective countermeasures. Our research focuses on developing an intelligent system capable of detecting signs of drowsiness in real-time, providing timely warnings, and ultimately preventing accidents.

Authors

Publication Details

Journal
International Journal For Multidisciplinary Research
Published
2024-10-06
DOI
https://doi.org/10.36948/ijfmr.2024.v06i05.28313
Citations
1
Primary Topic
Fire Detection and Safety Systems
Type
article
Field-Weighted Citation Impact
0.36
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article

Drowsy Driver Warn System Using OpenCV

SAMYAK PATNI -, RITESH PATIL -
1 citations
International Journal For Multidisciplinary Research
Fire Detection and Safety Systems
0.36
article

Drowsy Driver Warn System Using OpenCV

SAMYAK PATNI -, RITESH PATIL -
article en
1 citations

Abstract

The "Drowsy Driver Alarm" project leverages cutting-edge machine learning and face recognition technologies to address the critical issue of driver drowsiness on the road. Drowsy driving is a major cause of accidents and fatalities worldwide, highlighting the urgent need for effective countermeasures. Our research focuses on developing an intelligent system capable of detecting signs of drowsiness in real-time, providing timely warnings, and ultimately preventing accidents.

International Journal For Multidisciplinary ResearchVol. 6(5)
Good health and well-being
Openalex Percentile: Top 39%
Fire Detection and Safety Systems
0.36
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Drowsy Driver Warn System Using OpenCV — SAMYAK PATNI -, RITESH PATIL - · International Journal For Multidisciplinary Research (2024) | TGRS Research Map | TGRS