This paper is published in Volume-5, Issue-3, 2019
Area
Computer Science Engineering
Author
Megha C. Sakkari
Co-authors
G. Krishna Chaitanya, K. Raveena
Org/Univ
Sai Vidya Institute of Technology, Bengaluru, Karnataka, India
Pub. Date
15 May, 2019
Paper ID
V5I3-1357
Publisher
Keywords
Tensorflow, Convolution neural network, Google TTS

Citationsacebook

IEEE
Megha C. Sakkari, G. Krishna Chaitanya, K. Raveena. A novel approach for designing smart cane for visually impaired, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Megha C. Sakkari, G. Krishna Chaitanya, K. Raveena (2019). A novel approach for designing smart cane for visually impaired. International Journal of Advance Research, Ideas and Innovations in Technology, 5(3) www.IJARIIT.com.

MLA
Megha C. Sakkari, G. Krishna Chaitanya, K. Raveena. "A novel approach for designing smart cane for visually impaired." International Journal of Advance Research, Ideas and Innovations in Technology 5.3 (2019). www.IJARIIT.com.

Abstract

Usually, visually impaired people use a white cane as their mobility aid along with dogs as their guide. Using technologies to make smart walking cane which will assure safe mobility of the visually impaired person and reduce the energy spent on detecting an obstacle . In this paper, the smart cane is designed which will help a visually impaired person to walk confidently. The proposed project aims at the development of an Android-based Application for smartphones in which customers can connect to a cane. The camera on the cane sends real-time images of the current surroundings and the android application works on each frame to detect upcoming obstacles. The Convolution Neural network models help in the detection of objects using TensorFlow and stores the name of the object in a text file. Later the text in the text file is converted to voice using Google TTS (Text to Speech conversion). Thus using advanced technologies for better living.
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