Multifunctional Device for Blind People
A. Roselin Berna, SVS College of Engineering, Arasampalayam, Myleripalayam, Coimbatore; R. Suganya ,SVS College of Engineering, Arasampalayam, Myleripalayam, Coimbatore; N. Surya ,SVS College of Engineering, Arasampalayam, Myleripalayam, Coimbatore; A. Suvetha ,SVS College of Engineering, Arasampalayam, Myleripalayam, Coimbatore; K. Manju Priya ,SVS College of Engineering, Arasampalayam, Myleripalayam, Coimbatore
Obstacle Detection, Face Recognition, Image Processing, HAAR Classifier Algorithm, ANN Algorithm
Blindness is a state of lacking the visual perception due to physiological or neurological factors. In the existing system only specific functions are available whereas in this proposed system more than three functions are integrated together. In this project, simple, cheap and user-friendly smart blind guidance system is designed and implemented to improve the mobility of blind and visually impaired people. The project includes wearable equipment comprising earphones. It is connected to raspberry-pi in order to perform the functions such as obstacle detection, face recognition, image to speech conversion and currency detection to help the visually impaired people to move anywhere without the help of others. In this project image processing with Haar classifier algorithm and ANN algorithm is used to perform the functions.
-
[1] Ayush Wattal, Ashutosh Ojha, Manoj Kumar. Obstacle detection for visually impaired using raspberry pi and ultrasonic sensors. National conference on Product /Design (NCPD 2016), July 2016.
[2] Swathi.V, Steven Fernandes. Raspberry pi based human face detection. IJARCCE Vol 4, Issue 9, September 2015.
[3] Vandna Singh, Dr.Vinod Shokeen, Bhupendra Singh-Face detection by haar cascade classifier with simple and complex backgrounds images using opencv implementation-IJATES-Volume No. 01, Issue No. 12, December 2013 ISSN: 2348–7550.
[4] Narayan T. Deshpande, Dr. S. Ravishankar-Face Detection and Recognition using Viola-Jones algorithm and Fusion of PCA and ANN-Advances in Computational Sciences and Technology ISSN 0973-6107 Volume 10, Number 5 (2017) pp. 1173-1189.
[5] Shrutika V. Deshmukh, Prof Dr. U.A. Kshirsagar. Face detection and face recognition using Raspberri pi. IJARCCE ISO 3297:2007 Vol. 6. Issue 4, April 2017.
[6] K. Lakshmi T. Chandra Sekhar Rao. Design and implementation of text to speech. International journal of innovative technology and research Volume No.4, Issue No.6, October – November 2016, 4564-4567. 2320.
[7] Searched from the following link SourceForge.net and the repository-github.com/espeak-ng/espeak-ng/.
[8] Snehal Saraf, Vrushali Sindhikar, Shamali Thakare. Currency recognition system for visually Impaired. IJARIIE-ISSN (O)-2395-4396. Vol-3 Issue-2 2017.
Paper ID: GRDCF007017
Published in: Conference : National Conference on Emerging Trends in Electrical, Electronics and Computer Engineering (ETEEC - 2018)
Page(s): 86 - 94
Published in: Conference : National Conference on Emerging Trends in Electrical, Electronics and Computer Engineering (ETEEC - 2018)
Page(s): 86 - 94