IoT-Based Indoor Navigation Wearable System for Blind People

This paper presents a wearable audio assistance indoor navigation system for blind people using IoT. In this model, visual markers are used for identification of the points of interest in the environment; in addition, we enhance this location status with information collected in real time by other sensors. The blind users wear glasses built with sensors like RGB camera, ultrasonic, magnetometer, gyroscope, and accelerometer to improve the quantity and quality of the available data. To improve the ultrasonic perception, we use two ultrasonic sensors. An audio assistance system provided for user uses an audio bank with simple known instructions. This makes the user to navigate freely in the prepared environment. The readings of the sensors are uploaded to the cloud, and it will send an alert message to the registered mobile whenever the readings are greater than the threshold value.