Abstract:
Proper navigation and detailed perception in familiar or unfamiliar environments are the
main roles for human life. Eyesight sense helps humans to abstain from all kinds of dangers
and navigate to indoor and outdoor environments. These are challenging activities for blind
people in all environments. Usually, they are navigated to their natural sense but sometimes
this is not adequate because human senses can be affected by external noise. Many assistive
tools have been developed by the blessing of technology like white canes, braille
compasses that help blind people to move around the world. In this project, we have
developed a cloud and vision-based navigation system for visually impaired people or the
blind. Our aim is not only to navigate them but also to perceive the environment in as much
detail as a normal person. The proposed system includes ultrasonic sensors detecting
obstacles, stereo camera to capture videos to perceive the environment using deep learning
algorithms. The proposed system also includes a face recognition system that identifies
known faces in front of him. Blind people interact with the whole system through a speech
recognition module and all the information is stored in the cloud. Web application and
Android application are used to track blinds, visited areas, etc. For that, the guardian is able
to monitor them all the time. Blind is also contact their guide in an emergency situation.
The experimental results show the proposed system can provide more abundant
surrounding information and interaction with the newly proposed system.