This Application Uses the OpenCV library to detect Eye Aspect Ratio and alarms a sound if a person falls asleep during Driving. Facial Landmark detection is used in this application to locate eyes in the Video. If the Calculated Eye Aspect Ratio goes below a certain Level an alarm is played. A trained model is used here to detect the facial landmarks. I uploaded the .dat file in the repo.
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- Can Be Used In Cars or Trucks Via Raspberry Pi to Prevent Drowsiness
- Can't Detect The Face While Wearing Mask or anything Protective
- Anaconda(python-2.7.x)
- openCV 2.4.x
- Google Search;)
To report a specific problem, please mail me at kazimifta13@gmail.com . If You want to run the Code in Your PC make sure the Python and OpenCV version Matches.