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or comparable device, to be mounted on

the dashboard of a car) that is capable of

demonstrating how the proposed method

achieves its goals in real-time.

Drowsiness causes 7% of all road accidents and

may be to blame for 18% of fatal collisions.

In this project we are developing a computer

vision-based solution to the problem of detecting

driver drowsiness based on visual input (images

of driver’s face/head) and issuing an alert. We

have researched the state-of-the-art in the field,

with emphasis on computer vision aspects, such

as algorithms and datasets for feature extraction

and image classification for related problems

(e.g., open/closed eye classification and head

pose estimation).

Our main objective is to implement a

mobile prototype (running on a smartphone

Driver Drowsiness Detection

Oge Marques, PI, Borko Furht, Co-PI

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