Pratham-mehta/Real-time-Driver-Drowsiness-Detection-System-Using-Deep-Learning
CS-GY 6953 Deep Learning Major Project
This system helps prevent road accidents by detecting driver drowsiness in real-time. It takes live video footage of a driver's face as input and outputs an alert when signs of drowsiness, like closed eyes or yawning, are detected. This tool is designed for anyone who operates a vehicle, especially professional drivers or individuals embarking on long journeys.
No commits in the last 6 months.
Use this if you need a system to monitor a driver's face for signs of fatigue and provide immediate alerts to prevent accidents.
Not ideal if you need a system that relies on methods other than visual cues, such as steering wheel input or physiological sensors.
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21
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Language
Jupyter Notebook
License
MIT
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Last pushed
Jul 20, 2023
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