scholarly journals Stereo Vision-based Path Finder for Visually Impaired

2020 ◽  
Vol 9 (3) ◽  
pp. 556-561
Keyword(s):  
Stereo Vision ◽  
Visually Impaired ◽  
Imaging System ◽  
Processing Unit ◽  
Disparity Map ◽  
Test Environment ◽  
Visually Impaired People ◽  
Vibration Pattern ◽  
Mobility Aid ◽  
Head Height

This paper introduces a novel electronic mobility aid for visually impaired users that helps them navigate in any given environment and avoid knee level to head height obstacles. The mobility aid uses stereo imaging system to capture the images of the area in front of the user. The processing unit generates a disparity map and a segmentation algorithm extracts information about the relative distance of obstacles from the user. This information is relayed to the user in simplified vibration pattern feedback to inform the user of the path to be taken to avoid collision with the obstacle. Special hardware was designed to make the system portable and cost effective.The mobility aid was validated on 55 visually impaired users. The subjects walked in a controlled test environment with a varying number of obstacles placed in their path. The accuracy of the device to help the user avoid obstacles and the average speed of walking of the user were determined. The results obtained were satisfactory and the device has the potential for use in standalone mode as well as in conjunction with a white cane and thus help visually impaired people counter mobility problems.

scholarly journals Electronic Orientation Aid for Visually Impaired using Graphics Processing Unit (GPU)

2020 ◽  
Vol 32 ◽  
pp. 03054
Author(s):  
Akshata Parab ◽  
Rashmi Nagare ◽  
Omkar Kolambekar ◽  
Parag Patil
Keyword(s):  
Real Time ◽  
Visually Impaired ◽  
Graphics Processing Unit ◽  
Human Perception ◽  
Processing Unit ◽  
Surrounding Environment ◽  
Visually Impaired People ◽  
Impaired People ◽  
Definition Of ◽  
Graphics Processing

Vision is one of the very essential human senses and it plays a major role in human perception about surrounding environment. But for people with visual impairment their definition of vision is different. Visually impaired people are often unaware of dangers in front of them, even in familiar environment. This study proposes a real time guiding system for visually impaired people for solving their navigation problem and to travel without any difficulty. This system will help the visually impaired people by detecting the objects and giving necessary information about that object. This information may include what the object is, its location, its precision, distance from the visually impaired etc. All these information will be conveyed to the person through audio commands so that they can navigate freely anywhere anytime with no or minimal assistance. Object detection is done using You Only Look Once (YOLO) algorithm. As the process of capturing the video/images and sending it to the main module has to be carried at greater speed, Graphics Processing Unit (GPU) is used. This will help in enhancing the overall speed of the system and will help the visually Impaired to get the maximum necessary instructions as quickly as possible. The process starts from capturing the real time video, sending it for analysis and processing and get the calculated results. The results obtained from analysis are conveyed to user by means of hearing aid. As a result by this system the blind or the visually impaired people can visualize the surrounding environment and travel freely from source to destination on their own.

scholarly journals Camera Sensory System for Door and Stair Detection for Visually Impaired

2021 ◽  
Vol 10 (6) ◽  
pp. 109-113
Author(s):  
Shrugal Varde* ◽  
◽  
Dr. M.S. Panse ◽  
Keyword(s):  
Feature Extraction ◽  
Auditory Feedback ◽  
Visually Impaired ◽  
Sensory System ◽  
Indoor Environments ◽  
Blind Users ◽  
Test Environment ◽  
Extraction Algorithm ◽  
Mobility Aid ◽  
Key Features

This paper introduces a novel travel for blind users that can assist them to detects location of doors in corridors and also give information about location of stairs. The developed system uses camera to capture images in front of the user. Feature extraction algorithm is used to extract key features that distinguish doors and stairs from other structures observed in indoor environments. This information is then conveyed to the user using simple auditory feedback. The mobility aid was validated on 50 visually impaired users. The subjects walked in a controlled test environment. The accuracy of the device to help the user detect doors and stairs was determined. The results obtained were satisfactory and the device has the potential for use in standalone mode for indoor navigations.

scholarly journals Literature Survey on Stereo Vision Disparity Map Algorithms

2016 ◽  
Vol 2016 ◽  
pp. 1-23 ◽  
Author(s):  
Rostam Affendi Hamzah ◽  
Haidi Ibrahim
Keyword(s):  
Stereo Vision ◽  
Stereo Matching ◽  
Literature Survey ◽  
Processing Unit ◽  
Stereo Correspondence ◽  
Disparity Map ◽  
Central Processing ◽  
Field Programmable ◽  
Processing Module ◽  
Graphical Processing

This paper presents a literature survey on existing disparity map algorithms. It focuses on four main stages of processing as proposed by Scharstein and Szeliski in a taxonomy and evaluation of dense two-frame stereo correspondence algorithms performed in 2002. To assist future researchers in developing their own stereo matching algorithms, a summary of the existing algorithms developed for every stage of processing is also provided. The survey also notes the implementation of previous software-based and hardware-based algorithms. Generally, the main processing module for a software-based implementation uses only a central processing unit. By contrast, a hardware-based implementation requires one or more additional processors for its processing module, such as graphical processing unit or a field programmable gate array. This literature survey also presents a method of qualitative measurement that is widely used by researchers in the area of stereo vision disparity mappings.

Assistive Device for Locomotion of Visually Impaired and Physically Challenged People

2016 ◽  
Vol 852 ◽  
pp. 806-811 ◽  
Author(s):  
Sathish ◽  
Rajagopalan Nithya ◽  
N. Roshini ◽  
S. Nivethithaa
Keyword(s):  
Visually Impaired ◽  
Control Unit ◽  
Assistive Device ◽  
Voice Command ◽  
Visually Impaired People ◽  
Second Mode ◽  
Impaired People ◽  
Mobility Aid ◽  
Physically Challenged ◽  
The Voice

Dependency for mobility of physically challenged and visually impaired people is a major issue to be focused. To bring a safe and independent movement, we have designed and developed a mobility aid to assist them in locomotion. The device is designed using CATIA software. Our ideology is to control the navigation of the device by two modes. In the first mode, the navigation of the unit is governed by the voice command given by the user namely right, left, forward, reverse and stop. In the second mode, the device renders a reliable movement in the known environment which is achieved by feeding in a pre-defined layout. The navigation modes are regulated by a control unit.

scholarly journals Stereo Vision Based Sensory Substitution for the Visually Impaired

Sensors ◽  
2019 ◽  
Vol 19 (12) ◽  
pp. 2771 ◽  
Author(s):  
Simona Caraiman ◽  
Otilia Zvoristeanu ◽  
Adrian Burlacu ◽  
Paul Herghelegiu
Keyword(s):  
Real Time ◽  
Stereo Vision ◽  
Visually Impaired ◽  
Large Scale ◽  
Sensory Substitution ◽  
Main Research ◽  
Visually Impaired People ◽  
Time Operation ◽  
Outdoor Environments ◽  
Real Time Operation

The development of computer vision based systems dedicated to help visually impaired people to perceive the environment, to orientate and navigate has been the main research subject of many works in the recent years. A significant ensemble of resources has been employed to support the development of sensory substitution devices (SSDs) and electronic travel aids for the rehabilitation of the visually impaired. The Sound of Vision (SoV) project used a comprehensive approach to develop such an SSD, tackling all the challenging aspects that so far restrained the large scale adoption of such systems by the intended audience: Wearability, real-time operation, pervasiveness, usability, cost. This article is set to present the artificial vision based component of the SoV SSD that performs the scene reconstruction and segmentation in outdoor environments. In contrast with the indoor use case, where the system acquires depth input from a structured light camera, in outdoors SoV relies on stereo vision to detect the elements of interest and provide an audio and/or haptic representation of the environment to the user. Our stereo-based method is designed to work with wearable acquisition devices and still provide a real-time, reliable description of the scene in the context of unreliable depth input from the stereo correspondence and of the complex 6 DOF motion of the head-worn camera. We quantitatively evaluate our approach on a custom benchmarking dataset acquired with SoV cameras and provide the highlights of the usability evaluation with visually impaired users.

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