This paper is published in Volume-5, Issue-2, 2019
Area
Electronics and Communication Engineering
Author
Vidhat Ganga, Saaima T., Sweta Kumari, Monika Jain, Rohan Madan, R. Veera Amudhan
Org/Univ
SRM Institute of Science and Technology, Chennai, Tamil Nadu, India
Pub. Date
12 April, 2019
Paper ID
V5I2-1808
Publisher
Keywords
Virtual keyboard, Virtual mouse, Eyeball controlled computer, Rasberry Pi, PIR sensor

Citationsacebook

IEEE
Vidhat Ganga, Saaima T., Sweta Kumari, Monika Jain, Rohan Madan, R. Veera Amudhan. Eye ball movement controlled mouse and keyboard using camera, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Vidhat Ganga, Saaima T., Sweta Kumari, Monika Jain, Rohan Madan, R. Veera Amudhan (2019). Eye ball movement controlled mouse and keyboard using camera. International Journal of Advance Research, Ideas and Innovations in Technology, 5(2) www.IJARIIT.com.

MLA
Vidhat Ganga, Saaima T., Sweta Kumari, Monika Jain, Rohan Madan, R. Veera Amudhan. "Eye ball movement controlled mouse and keyboard using camera." International Journal of Advance Research, Ideas and Innovations in Technology 5.2 (2019). www.IJARIIT.com.

Abstract

Some are not ready to work with PCs in light of a sickness. Eye controls of extraordinary use to the eventual fate of characteristic contribution as well as more essentially the impeded and debilitated. Besides executing a controlling framework in it empowers them to work PC without the assistance of someone else. It is increasingly useful to the crippled. Those have to work PCs without hand this one is most valuable those can work cursor by the development of the eye. In this paper, the camera is catching the picture of eye development. First, distinguish student focus position of the eye. At that point, the distinctive minor departure from understudy position gets diverse development of cursor. The Implementation process for Pupil location utilizing Raspberry Pi and on the terminal of the Raspbian picture introduced on a raspberry pi. The eye tracker depends on pictures recorded by a transformed webcam to gain eye developments.