janeetazahid/Fatigue-Driving-Detection
Detecting Fatigue Driving using Deep Learning
This project helps commercial fleet managers, safety officers, or individual drivers proactively identify driver fatigue. By analyzing real-time video footage of a driver's face, it detects key indicators like yawning and prolonged eye closure. The output provides an assessment of the driver's fatigue level (low, medium, or high), enabling timely warnings and preventing accidents.
No commits in the last 6 months.
Use this if you need a cost-effective system to monitor drivers for signs of fatigue and provide early warnings to improve road safety.
Not ideal if you require medical-grade diagnostics of fatigue or a system that operates without any visual input.
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14
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Language
PureBasic
License
GPL-2.0
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Last pushed
Apr 10, 2022
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