Driver Monitoring Using Face Detection and Facial Landmarks

The influence of fatigue on accidents has been demonstrated over time by conducting several research papers, whose conclusions came to confirm the actual situations faced by drivers every day. Globally, between 10% and 25% of road, accidents are caused by fatigue, and studies have shown that professional drivers are more prone to the risk of being involved in an accident than casual drivers. Nowadays a high percent of automobile accidents are caused by human error. Human errors reflected by drivers lacking necessary vigilance levels or reacting improperly causing inadequate control of their vehicle.

II. Structure of the Algorithm

In the Fig.1 it is shown a flow graphic of the processing software implemented for the driver monitoring system. On top we have the frame capture from a video camera, the captured image being transposed into the greyscale space. This image is processed with the face detection algorithm and if it is a face detected the algorithm proceeds forward, otherwise captures a new image.