Author(s):
Proteem Ganguly¹, Shalini Dey², MSayani Nandy³, Avirup Basu⁴, Sourav Sarkar⁵

Doi: 10.7508/aiem.01.2017.22.25

Author Affiliation:
Siliguri Institute of Technology, 734003, India

This is an open access article distributed under the Creative Commons Attribution License CC BY 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Now a days it is a big problem for the visually impaired person to travel or walk alone in the road. They often faces the accidents or collides with the obstacles, so they have to take the help of the others or have to be dependent on the others to travel on the roads. Even when they goes to any new places it is very difficult for them to cooperate with the new environment and they have to take the help of the others. Though they uses the blind cane to walk they cannot know about the obstacles until they touch the obstacles so sometimes before taking any decision they faces accidents. Moreover they even cannot recognize what obstacle it is. So our main objective is to provide the information to the visually challenged people so that they can move independently on the roads without facing accidents and can recognize the objects so that knowing the object they can take the decision accordingly and can avoid the accidents. The device is basically a smart blind cane which consist of a wireless camera attached to the servo motor which will rotate in all the possible directions and will visualize the objects and provide an early information to the visually challenged person through the headphone or Bluetooth headset so that after getting the information about the object the person can take an immediate action to avoid the collision with the object.

KEYWORDS:
Open CV; intel edison; python IDE; object recognition