scholarly journals Design of Obstacle Detection System for Visually Challenged People

2020 ◽  
Vol 8 (5) ◽  
pp. 5-8
Keyword(s):  
Image Processing ◽  
Visually Impaired ◽  
Detection System ◽  
Obstacle Detection ◽  
Satisfactory Accuracy ◽  
Visually Impaired People ◽  
Impaired People ◽  
Visually Challenged

This paper describes a obstacle detection system for visually impaired people using Image processing in MATLAB.This system, together with ultra-sonic sensor interfaced with Arduino detects stairs and doors with or without signage and distance of these objects from the user. This information is conveyed to the user through a speaker. The results show satisfactory accuracy in detecting stairs and extracting different signage on doors such as that of washroom, exit, elevator etc.

scholarly journals Smart Assistive Shoes with Internet of Things Implementation for Visually Impaired People

2021 ◽  
Vol 2107 (1) ◽  
pp. 012030
Author(s):  
F S Kamaruddin ◽  
N H Mahmood ◽  
M A Abdul Razak ◽  
N A Zakaria
Keyword(s):  
Internet Of Things ◽  
Mobile Phone ◽  
Visually Impaired ◽  
Detection System ◽  
Obstacle Detection ◽  
The Internet ◽  
Transfer Data ◽  
Visually Impaired People ◽  
Impaired People ◽  
Project Smart

Abstract Visually impaired people usually have a lot of difficulties involved in interacting with their environment. Physical movement is a major challenge for them, because it can be tricky to make a distinction about where they are and how they can move from one place to another. In this project, smart assistive shoes with Internet of Things (IoT) implementation is designed. These shoes are equipped with ultrasonic sensors and vibration motors that can warn users about obstacles. Next, the IoT system is implemented using Adafruit IO and If This, Then That (IFTTT) to transfer data between Google Assistant and buzzer for shoes position finder purposes. NodeMCU allows the buzzer on shoes to be controlled by the Internet using its WiFi module which is connected to the mobile phone hotspots. As a result, shoes with an obstacle detection system which can detect obstacles within 20 cm distance and shoes position finder using Google Assistant are designed. In conclusion, hopefully these shoes will become one of the alternatives to aid the independent movement of the visually impaired people in the future.

scholarly journals A Hands-Free Obstacle Detection and Avoidance System

2015 ◽  
Vol 5 (3) ◽  
pp. 801-804
Author(s):  
M. Abdul-Niby ◽  
M. Alameen ◽  
O. Irscheid ◽  
M. Baidoun ◽  
H. Mourtada
Keyword(s):  
Obstacle Avoidance ◽  
Visually Impaired ◽  
Low Cost ◽  
Cost Effective ◽  
Obstacle Detection ◽  
Text To Speech ◽  
Voice Signal ◽  
Visually Impaired People ◽  
Impaired People ◽  
The Voice

In this paper, we present a low cost hands-free detection and avoidance system designed to provide mobility assistance for visually impaired people. An ultrasonic sensor is attached to the jacket of the user and detects the obstacles in front. The information obtained is transferred to the user through audio messages and also by a vibration. The range of the detection is user-defined. A text-to-speech module is employed for the voice signal. The proposed obstacle avoidance device is cost effective, easy to use and easily upgraded.

A Wearable Supporting System for Visually Impaired People in Operating Capacitive Touchscreen

2011 ◽  
Vol 103 ◽  
pp. 687-694
Author(s):  
Akira Yamawaki ◽  
Serikawa Seiichi
Keyword(s):  
Image Processing ◽  
Visually Impaired ◽  
High Performance ◽  
Middle Finger ◽  
Cmos Image Sensor ◽  
Image Sensor ◽  
Supporting System ◽  
Visually Impaired People ◽  
Impaired People ◽  
Natural Way

We propose a wearable supporting system with a CMOS image sensor for the visually impaired people in operating capacitive touchscreen. This system attaches the CMOS image sensor without a lens to the tip of the middle finger. The icons and buttons displayed on the touchscreen are replaced to the color barcodes. Touching the surface of the touchscreen with the CMOS image sensor directly, the color barcode is detected and decoded. The decoded results are returned to the user by some interaction like audio. Then, the user touches the button area around the color barcode by the forefinger to operate the target device. This system can provide very easy and natural way for operating the touchscreen to the visually impaired people who usually recognize the materials by the finger. Any mechanical modification of the target device is not needed. The modification can be made by changing its software program. Since the color barcode is sensed by the image sensor without any lens touching the surface of the touchscreen, each bar in the color barcode should be blurred. So, we　develop an easy and simple image processing to handle such problem. We design it as the hardware module to achieve the high performance and low-power wearable device. A prototype hardware using an FPGA shows the hardware size, the performance and the actual demonstration.

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