Driver Drowsiness And Accident Detection System

Computer Engineering

Drowsiness detection has many indications including reducing roads traffic accidents importance. Using image processing approach is amongst the new and reliable methods in sleepy face. Drowsiness of the drivers is the main bring of accidents in the world as. Due to need of sleep and tiredness, drowsiness can occur while driving. The best way to escape accidents caused by drivers' drowsiness is to detect drowsiness of the driver and warn him before fall into sleep. To detect drowsiness many method like eye retina detection, facial feature recognition has been used. Here in this paper, we propose a method of detecting driver drowsiness using eye retina detection and accident exposure of the driver. In this report, we propose a more precise drowsiness detection method which is a hybrid approach of eye retina detection and accident detection.

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