A Comparative Study of Walking Assistance Tools Developed for the Visually Impaired People

The number of visually impaired people is growing with the fast increase of population. The visually impaired people face much difficulty in their day-to-day lives due to losing their vision. This paper analyzed the performances of the raspberry pi and Arduino for the obstacle detected to assist the visually impaired people. We have used raspberry pi, Arduino and ultrasonic sensor as hardware components in this paper. The position of the obstacles is varied from the sensor and the data is measured corresponding to actual distance. The average accuracy and error rate are obtained 98.47% and 1.53% from the raspberry pi. In addition, Arduino achieved the average accuracy and error rate of 95.22% and 4.78%. Raspberry pi obtained more accuracy and lower error rate than Arduino.