Smart Phone Base Object Detection System by using Sift for Visually Impaired People |
Author(s): |
| Shubham Dahikar , Jscoe Hadapsar pune; Pratik Pagdhune, jscoe hadapsar pune; Sheetal Nakade, jscoe hadapsar pune; Rinita Vyawahare, jscoe hadapsar pune |
Keywords: |
| Blind Navigation, SIFT, Blind Assistive System, Features Descriptors, Feature Matching |
Abstract |
|
In this paper we introduce a real-time obstacle detection and classification system designed to assist visually impaired people navigate safely in indoor environment, by using smart phone. By storing the captured images into the database and extracting the features of the image by using SIFT algorithm using open-CV and K Nearest Neighbour (KNN) algorithm is used for comparing the object. The captured image is stored into the database extract features using open-cv SIFT algorithm then verify or compare with features display relevant object label the object then application will speak out the labeled object or which object is recognized. This approach is to present the effective image sequence with significant camera with high accuracy rates on feature extraction and matching to recognize and locate objects in image. |
Other Details |
|
Paper ID: IJSRDV6I20183 Published in: Volume : 6, Issue : 2 Publication Date: 01/05/2018 Page(s): 346-348 |
Article Preview |
|
|
|
|
