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Survey on Drowsiness Detection and Alert System using ML Approach
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Abstract: Many of the accidents occur due to drowsiness of drivers. It is one of the critical causes of roadways accidents now-adays. Latest statistics say that many of the accidents were caused because of drowsiness of drivers. Vehicle accidents due to drowsiness in drivers are causing death to thousands of lives. More than 30% of accidents occur due to drowsiness. For the prevention of this, a system is required which detects drowsiness and alerts the driver which saves the life. In this project, we present a scheme for driver drowsiness detection based on visual information and Machine Learning. In this, the driver is continuously monitored through a webcam. This system is used to locate, track, and analyse both the drivers face and eyes, a scientifically supported measure of drowsiness associated with slow eye closure.
International Journal for Research in Applied Science and Engineering Technology
Title: Survey on Drowsiness Detection and Alert System using ML Approach
Description:
Abstract: Many of the accidents occur due to drowsiness of drivers.
It is one of the critical causes of roadways accidents now-adays.
Latest statistics say that many of the accidents were caused because of drowsiness of drivers.
Vehicle accidents due to drowsiness in drivers are causing death to thousands of lives.
More than 30% of accidents occur due to drowsiness.
For the prevention of this, a system is required which detects drowsiness and alerts the driver which saves the life.
In this project, we present a scheme for driver drowsiness detection based on visual information and Machine Learning.
In this, the driver is continuously monitored through a webcam.
This system is used to locate, track, and analyse both the drivers face and eyes, a scientifically supported measure of drowsiness associated with slow eye closure.
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