Application for the Voice Assistance of the Blind
E. Teja, T Manikumar, N Naveen Kumar · International Journal of Innovations in Engineering and Science · 2022
This application enables consumers or users to gain knowledge about Obstacle detection and warning can improve the mobility as well as the safety of visually impaired people especially in unfamiliar environments.For this, firstly, obstacles are detected and localized and then the information of the obstacles will be sent to the visually impaired people by using different modalities such as voice.In this project, we present an assistive system for visually impaired people based on Tensor Flow object detection model and Google Speech's model.[1] This system consists of two main components: environment information acquisition and analysis and information representation The first component aims at capturing the environment by using TesnorFlow object detection model and analyzing it in order to detect the predefined obstacles for visually impaired people.[3]While the second component to tries to represent obstacles information under the form of speech to visually impaired person [1]