Voice Navigation Based guiding Device for Visually Impaired People

Navigation of visually impaired people is one of the important disputes that requires significant research consideration. The visually impaired users generally use white canes for obstacle detection by remembering all the familiar locations. In a new-fangled and unacquainted environment, they totally depend on individuals passing by to enquire for certain places. In this contemporary world along with various sensors, there should be a system with the most basic invention to make their life a bit tranquil. A contactless, hands free, LVU (Lidars and Vibrotactile Units), discrete wearable device was designed in this proposed work that allows blind people to detect obstacles. To provide a safe mobility for the impaired people, a suitable mobile assistance device is necessary. This paper propose a safe wearable device with audio output for benign local navigation in both inside and outdoor environment which help in assisting the user to discriminate free space from obstacles. The device presented is composed of wearable strap with sensors. By using TOF sensor attached in the front of the belt worn by the users, the pulses from the LiDAR provide a reliable and correct measurements of the distances between the handler and obstacles. The image captured by the camera is processed and classified by the convolution neural network algorithm. The identified image is given as an audio input to the audio jockey. The vibratory motor and voice intimation by audio jockey provides the haptic feedback when the disabled person reach the obstacle. The vibration motor is placed with a pretension point-loaded applicator to transmit the isolated vibrations to incapacitate person. Distance between the obstacle and the disabled person is measured by using LiDAR sensor and it will be given as a feedback to the visually impaired person with the voice input. Thus, this wearable device helps in assisting the visually impaired people in a more comfortable way than white canes.