Ajay .S.S
, Dhinesh .K , Arjun Raj .S , Anish Kumar .M.M , Sai Hari .E
Eye tracking, wheelchair, people with disabilities, elderly people, Raspberry Pi, image processing.
The project's sophisticated eye tracking technology is designed with the elderly and the disabled in mind.This research aims to use eye movement and rotations to control all appliances, wheelchairs, and communicate with carers.The wheelchair control module, imaging processing module,appliance control module, and SMS management module are the four parts that make up this system.The image processing module consists of a webcam and image processor developed in C++. The Raspberry Pi microprocessor receives the recorded image of the eye movement and processes it using OpenCV to ascertain the eyeball's coordinates.On the screen of the Raspberry Pi, the coordinate of the eyeball is used to operate the pointer.This method combines eye blinking in addition to eye movement, much like when you hit the Enter key on a computer, to enter orders. The wheelchair-controlled module consists of a cradle with two servos that can be moved in two dimensions and that can also be customised to work with different wheelchair joysticks.This system also enables remote management of a few appliances as well as text messaging communication with the career.
Volume 11
Issue 2,
February-2024
Pages : 306-310
Paper Reg. ID: TIJER_151041
Published Paper Id: TIJERB001048
Downloads: 000290
Research Area: Science and Technology
Country: THIRUVALLUR, TAMILNADU, India
ISSN: 2349-9249 | IMPACT FACTOR: 8.57 Calculated By Google Scholar | ESTD YEAR: 2014
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: TIJER (IJ Publication) Janvi Wave
