Driver Distraction Supervision
Keywords:
OpenCV, Python, SciPy, dlib, Neural NetworksAbstract
Distraction and Drowsiness of the drivers is the primary reason for accidents within the global. Because of lack of sleep and tiredness, drowsiness can occur while using. The nice manner to keep away from injuries caused by the driver's distraction is to locate the drowsiness of the motive force and warn them earlier than falling asleep. To come across drowsiness and distraction many techniques like eye retina detection, facial characteristic popularity, and yawning detection were used. Right here in this project, we propose a method of detecting driving force drowsiness with the usage of eye retina detection, face distraction detection, and yawning detection of the driver. As soon as the motive force is discovered drowsy or distracted an alert can be generated and a message might be printed on the display screen with the alarm for you to alert the driver quickly.
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