Smart Tv Controlling System For Child Eyes Safety Using Image Processing

Abstract

In a human and computer interaction based system, 
distance estimation by computer vision between 
camera and human face is a vital operation. To 
calculate the distance between the camera and 
face, an estimation method based on feature 
detection is proposed in this project, where 
detection of eye and face in an image sequence is 
described. From the estimated iris and the distance 
between the centroid of the iris, an algorithm is 
proposed to determine the distance from camera to 
face. An architecture for face detection based 
system on algorithm using Haar features and 
Canny and Hugo Transform for edge and circular 
iris estimation is presented here. From the 
estimated face, canny and Hugo transform is used 
to determine the iris, and to calculate the distance 
between the centroid of iris. Later Pythagoras and 
similarity of triangles are used for distance 
estimation and based on that, a arduino controller 
is connected to the system/ laptop so that it will 
send the commands to the controller to turn ON 
and turn OFF of the TV for the safety of the 
children’s eye. A buzzer and leds are connected to 
the controller so based on the distance they will 
turn on and off.