Virtual Vision for Blind People Using Mobile Camera and Sonar Sensors

被引:1
作者
Suny, Shams Shahriar [1 ]
Basak, Setu [1 ]
Chowdhury, S. M. Mazharul Hoque [1 ]
机构
[1] Daffodil Int Univ, Dept Comp Sci & Engn, Dhaka, Bangladesh
来源
COMPUTATIONAL VISION AND BIO-INSPIRED COMPUTING | 2020年 / 1108卷
关键词
Virtual vision; YOLO; Physically challenged; Mobile camera; Sensors; COMPUTERIZED TRAVEL AID; OBSTACLE DETECTION; AVOIDANCE; SYSTEM;
D O I
10.1007/978-3-030-37218-7_109
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this modern era of technology, almost all the real life challenges are solved by using the innovative technological solutions. We know there are many blind people, who still remain outside from the touch of modern and digitized technologies. Blind people cannot get proper direction for their destination path and it is still hard to find out what object that he/she will interact with. The proposed model will not only help in their easy movement but also give them a virtual vision. In this implementation we will use NodeMCU and mobile camera which will be guided by OpenCv library that uses Python to detect an object. It will also analyze and report the object type to the user, which will create a virtual vision to the user. On the other hand, there will be some sonar sensors which will include vibration motor to help the blind persons to sense that there is an obstacle ahead in that direction. The future work of this project will provide the blind person a proper direction to his/her way using Google maps.
引用
收藏
页码:1044 / 1050
页数:7
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