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The driver drowsiness detection is based on an algorithm, which begins recording the drivers steering behavior the moment the trip begins. It then recognizes changes over the course of long trips, and thus also the drivers level of fatigue.
This phase uses Haar face detection algorithm that takes captured frames of image as input and then the detected face as output. Next, Haar is also used to extract the eyes image from the detected face which will be used as an input for the machine learning phase.
A driver drowsiness and attention warning (DDAW) system shall monitor a drivers level of drowsiness and alert the driver through the vehicle human machine interface (HMI).
The function triggers an alert if the system detects repeated signs of fatigue in the driver at the steering wheel. When a risk of fatigue is detected, the message Fatigue warning have abreak is displayed on the instrument panel accompanied by a beep.
There are essentially two ways your car can tell if youre getting tired. The most common one employs existing lane departure sensors and monitors steering inputs to detect erratic driving, like when youre drifting out of your lane often in a short period of time.
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The IR output is given to the circuit to signify the alarm. The controller will send a warning signal so that the buzzer, which is placed near the driver, will be activated, and alerts the driver when he falls asleep during driving.

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