Outdoor Navigation for Visually Impaired

visually impaired and blind people are frequently having no knowledge of obstacles when they walk in outdoor. Moreover, in all environments, the visually impaired people need an advice for decreasing colliding risk with obstacles. The proposes of this research is a mobile based navigation system for helping the visually impaired people in outdoor navigation to reduce the obstacle collision risk and could able to walk outside of the building smoothly with voice awareness. In this research, a smartphone based system to aid for navigation the visually impaired in outdoor. Most of the suggested and existent systems for navigating the visually impaired are not possible to use because of many factors such as cost, dependency, and usability. My suggested solution is a mobile based camera vision system to build an application for outdoor navigation without any other dependencies with high usability to navigate visually impaired people in unfamiliar environments like park, roads and so on. The current research proposes is to use the latest deep learning algorithm for object detection propose to detect different objects and implement as a navigation mobile application for visually impaired people. The suggested smartphone based system is not restricted to defined outdoor environments and does not depend on any other positioning system. Thus, the proposed solution not only limited to any specific environment but also provide the voice aids about surrounding obstacles for visually impaired people.