KaerMorh/fatigue-driving-detection
Do not trust any DL code in your car
This project helps detect if a driver is showing signs of fatigue by analyzing video footage from inside a car. It takes a video feed as input and determines if the driver's facial expressions and eye movements indicate drowsiness. Fleet managers, driving instructors, or safety officers could use this to monitor driver alertness.
139 stars. No commits in the last 6 months.
Use this if you need a system to monitor drivers in a car's interior environment with good accuracy and performance, especially where lighting and occlusion are not complex.
Not ideal if you need state-of-the-art accuracy on very complex facial analysis tasks or if you require extremely low inference speeds on limited edge hardware.
Stars
139
Forks
6
Language
Python
License
AGPL-3.0
Category
Last pushed
Apr 29, 2024
Commits (30d)
0
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