Driver-Drowsiness-Detection
neelanjan00
A real-time drowsiness detection system for drivers, which alerts the driver if they fall asleep due to fatigue while still driving. The computer vision algorithm used for the implementation uses a trifold approach to detect drowsiness, including the measurement of forward head tilt angle, measurement of eye aspect ratio (to detect closure of eyes) and measurement of mouth aspect ratio (to detect yawning).
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3 data points · 2023-03-01 → 2026-04-01How do you feel about this project?
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Question copied to clipboardWhat is the neelanjan00/Driver-Drowsiness-Detection GitHub project? Description: "A real-time drowsiness detection system for drivers, which alerts the driver if they fall asleep due to fatigue while still driving. The computer vision algorithm used for the implementation uses a trifold approach to detect drowsiness, including the measurement of forward head tilt angle, measurement of eye aspect ratio (to detect closure of eyes) and measurement of mouth aspect ratio (to detect yawning).". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.
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