Abstract:
The objective ofthis research-based project is to develop Eye blink detection system
which help us to interact with different appliances in our house, and also help people
which are not physically stable, for example who does not able to move their hands
and are not able to stand on their own feet. To accomplished this research we divided
it to small parts, such as firstly we extract feature ofimages using computer vision and
digital images processing concepts which include some major techniques such as
template matching, edge detection techniques for example canny edge detector,
Handle noise in image and try to smooth image in order to reduce noise with the help
of different filters and many more techniques. After feature detection we will create
our model with the help ofmachine learning with data set ofeye images and integrating
it into the hardware module. Finally, in the end we test and evaluate our results and
improve system accuracy according to the results.
