Drowsiness Detection using Computer Vision
نویسندگان
چکیده
The proposed system aims to enhance transportation safety by reducing the number of accidents caused driver fatigue and drowsiness, which have become increasingly common. analyzes facial bodily gestures such as eye tiredness yawning identify signs drowsiness fatigue. Eye aspect ratio (EAR) is used detect measuring distances between horizontal vertical landmarks. Yawn detection performed calculating a YAWN value based on distance upper lower lips comparing it threshold value. incorporates an eSpeak module, text-to-speech synthesizer, provide appropriate voice alerts when or detected. ultimate goal reduce fatalities resulting from road contribute technology advancements. Keywords: Drowsiness, ratio, Detection.
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ژورنال
عنوان ژورنال: Indian Scientific Journal Of Research In Engineering And Management
سال: 2023
ISSN: ['2582-3930']
DOI: https://doi.org/10.55041/ijsrem22082