Analysis of Speed Gablind App in Detecting Obstacle-Experiment Results

Abstract

Disability is the limited ability of an individual to perform a certain activity. One of them is a blind person, who has limitations in vision. This limitation of conditions makes blind people have the low mobility to carry out daily activities. Blind people need to be able to interact with the surrounding environment and have better security. Although, there are traditional tools used by blind people in daily activities such as sticks or dogs, the more advanced era makes technology more advanced development. This device has been made, one of which is a tool called Gablind. Gablind is a glasses tool that is equipped with electronic components and connected to a smartphone application called Gablind app. This tool can detect obstacles in their environment and provide navigation and instructions through the smartphone application. This research focuses on the Gablind app speed to the max sonar sensor to detect obstacles. Max sonar sensors on glasses is used to detect the environment in front of the blind. Gablind App on the android smartphone provides sound output and provides navigation for the visually impaired. This research used the standard deviation approach. The distance captured on the Max sonar sensor was 1 to 6 meters. The captured angle was from 450 to 1450. Gablind App speed on the smartphone worked effectively at speeds 21 to 66.8 cm / s to detect obstacles with distance 123 cm to 63 cm. The standard deviation value was less than one meaning that the data collected was homogeneous.