This paper is published in Volume-4, Issue-3, 2018
Area
Engineering
Author
Hitesh Kumar, Mohit Kumar, Kajal Bijpuria, Gaurav Kumar Gulathi, Chetan Umadi
Org/Univ
Dayananda Sagar College of Engineering, Bengaluru, Karnataka, India
Keywords
Assistive devices, Optical character recognition, Text localization algorithm, and AdaBoost model, IR sensor, Variable power supply.
Citations
IEEE
Hitesh Kumar, Mohit Kumar, Kajal Bijpuria, Gaurav Kumar Gulathi, Chetan Umadi. Smart Eye for Blind Person using Raspberry Pi, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Hitesh Kumar, Mohit Kumar, Kajal Bijpuria, Gaurav Kumar Gulathi, Chetan Umadi (2018). Smart Eye for Blind Person using Raspberry Pi. International Journal of Advance Research, Ideas and Innovations in Technology, 4(3) www.IJARIIT.com.
MLA
Hitesh Kumar, Mohit Kumar, Kajal Bijpuria, Gaurav Kumar Gulathi, Chetan Umadi. "Smart Eye for Blind Person using Raspberry Pi." International Journal of Advance Research, Ideas and Innovations in Technology 4.3 (2018). www.IJARIIT.com.
Hitesh Kumar, Mohit Kumar, Kajal Bijpuria, Gaurav Kumar Gulathi, Chetan Umadi. Smart Eye for Blind Person using Raspberry Pi, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Hitesh Kumar, Mohit Kumar, Kajal Bijpuria, Gaurav Kumar Gulathi, Chetan Umadi (2018). Smart Eye for Blind Person using Raspberry Pi. International Journal of Advance Research, Ideas and Innovations in Technology, 4(3) www.IJARIIT.com.
MLA
Hitesh Kumar, Mohit Kumar, Kajal Bijpuria, Gaurav Kumar Gulathi, Chetan Umadi. "Smart Eye for Blind Person using Raspberry Pi." International Journal of Advance Research, Ideas and Innovations in Technology 4.3 (2018). www.IJARIIT.com.
Abstract
A camera-based label reader is used to help blind person which helps them in reading names of the label on the product. The camera captures the label image of the product which is in front of it, detects the product label image and the image is separated using open CV library. The image label is then identified and can be heard by the blind person through voice. Earphones can be used for this, connected to the audio jack. The kit used for execution is the Raspberry PI which consists of various slots. This system also helps to find obstacle which appears in front of the blind person with the use of sensors.
