DRIVER DROWSINESS DETECTION
INTRODUCTION
Driver fatigue is the major reason why half (50 %) of road
accidents takes place. It is an interesting challenge in today’s
date to detect drowsiness in order prevent accidents.
The aim of this project is to detect drowsiness of
Automobile Driver using various detection function and
Voila Jones Algorithm.
PROPOSED WORK
IMAGE ACQUISITION:
It mainly involves obtaining the image of the Automobile driver. Live
image is taken as its input and then it converts those images into the
series of images which are further proceed to make various
operations.
PROPOSED WORK
MOUTH DETECTION:
After detecting the face and eyes of Automobile driver with the
detection function, the mouth detection is done with the help of mouth
detection function. This is be done with Voila Jones Algorithm.
DROWSINESS DETECTION:
Once the eyes of Automobile driver are detected, the drowsiness
detection function detects whether the driver is drowsy or not, by
taking into consideration whether the eyes are open or closed that is the
state of the eyes and considering whether the mouth is open(yawning)
or closed.
PROPOSED WORK
FACE DETECTION:
Face detection activity takes one of the frame at a time ‘t’ from frame
grabber which later tries to detect the face of Automobile Driver in
every frame. And it is done with the help of Vision Cascade samples.
EYE DETECTION:
After detecting the face of Automobile Driver with the face detection
function, the eyes detection can be done with the help of eyes detection
function. This is done using Voila Jones Algorithm.
