PROJECT DETAILS

Driver drowsiness detection and Advanced Driver Assistance System (ADAS) using Computer Vision

Driver drowsiness detection and Advanced Driver Assistance System (ADAS) using Computer Vision

PROJECT DETAILS


Xen.ai is working on a computer vision-based facial expression detection, face detection and face recognition solution for detecting the drowsiness of a driver and providing an automated alert if the driver becomes drowsy. These techniques are very useful towards creating an effective Advanced Driver Assistance System (ADAS).

 

Driving a long distance, especially on a highway can be fun at the same time is also very challenging. Generally, on highways, the traffic is less and drivers do not have much physical activity (in terms of braking, steering, changing speeds/gears etc.) while driving, rather maintaining a constant speed of the vehicle for a long duration. This sometimes makes the driver feel sleepy. Other reasons could be due to fatigue and tiredness. Various studies have suggested that around 20% of all road accidents are fatigue-related, up to 50% on certain roads. Driver drowsiness detection is a safety technology used in cars. It helps prevent accidents caused by the driver getting drowsy.  
 

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