scholarly journals Outdoor Assistance for Visually Impaired People Using Machine Learning

2021 ◽  
pp. 50-57
Author(s):  
Dr. S. Ananth ◽  
Dr. S. Raju ◽  
Mrs. D. Sindhuja ◽  
Dr. S. Prema ◽  
R. Mekala
Keyword(s):  
Object Detection ◽  
Visually Impaired ◽  
Main Idea ◽  
Single Shot ◽  
Test Configuration ◽  
Visually Impaired People ◽  
Eye Problems ◽  
Cross Platform ◽  
Visually Challenged ◽  
Blind Persons

Visually impaired and blindness caused by various diseases has been hugely increased because of various problems in the eyes and by born also many people are affected by eye problems to giving solutions for that we choose the project. These people face numerous challenges in playing out their everyday tasks, particularly in self-exploring in a situation that is unusual for them. They can't distinguish the item around them and them unable to recognize the object around them precisely much of the time. With the help of Object detection and classification technique, assist the blind people because during their mobility what are the objects present in front of those people it will be easily identified and giving instructions into the speaker itself. In this paper, our main idea is to detect the object in front of blind persons that detected objects are converted into voice feedback. For object detection, we use Single-Shot Detector Model for Train-Test configuration. then we use Play sound and GTTS python cross-platform libraries for classified labels into voice feedback. This system provides an efficient way of guiding the visually challenged people.

Object Detection to Assist Visually Impaired People: A Deep Neural Network Adventure

2018 ◽  
pp. 500-510 ◽  
Author(s):  
Fereshteh S. Bashiri ◽  
Eric LaRose ◽  
Jonathan C. Badger ◽  
Roshan M. D’Souza ◽  
Zeyun Yu ◽  
...  
Keyword(s):  
Neural Network ◽  
Object Detection ◽  
Visually Impaired ◽  
Deep Neural Network ◽  
Visually Impaired People ◽  
Impaired People

Addressing Challenges in Web Accessibility for the Blind and Visually Impaired

2011 ◽  
Vol 9 (4) ◽  
pp. 1-13 ◽  
Author(s):  
Angela Guercio ◽  
Kathleen A. Stirbens ◽  
Joseph Williams ◽  
Charles Haiber
Keyword(s):  
Visually Impaired ◽  
Visual Cues ◽  
Preliminary Test ◽  
Relevant Information ◽  
Prototype System ◽  
Preliminary Evaluation ◽  
Blind And Visually Impaired ◽  
Visually Impaired People ◽  
Blind Persons ◽  
The Waves

Searching for relevant information on the web is an important aspect of distance learning. This activity is a challenge for visually impaired distance learners. While sighted people have the ability to filter information in a fast and non sequential way, blind persons rely on tools that process the information in a sequential way. Learning is slowed by screen readers which do not interact well with web pages. This paper introduces WAVES, a tool for the fast retrieval of information in a web page for blind and visually impaired people. The paper describes the WAVES prototype, a system that performs a page restructuring of webpages. The system analyzes webpages, identifies elements of interests from a webpage, evaluates their importance by using semantic information and visual cues, sorts them by importance and uses them to restructure the webpage so that data from the original webpage are presented to the reader in a concise format. A preliminary evaluation test of the prototype system has been performed with a sample set of users. The results of the preliminary test show an increase in speed and accuracy when the WAVES system has been used.

The Use of Fax Technology to Address the Reading Needs of Blind and Visually Impaired Persons

1990 ◽  
Vol 84 (10) ◽  
pp. 509-513
Author(s):  
W. Gerrey ◽  
J. Brabyn ◽  
W. Crandall
Keyword(s):  
Visually Impaired ◽  
Office Workers ◽  
Preliminary Results ◽  
Blind And Visually Impaired ◽  
Visually Impaired People ◽  
Impaired People ◽  
Blind Persons ◽  
Visually Impaired Persons

Although fax communications pose a problem of accessibility for blind and visually impaired office workers, with centralized readers’ services they could be used to address the wider reading needs of blind and visually impaired people. With this technology, blind persons with fax machines could send unknown print to readers at a centralized readers’ service, who would read facsimiles of the documents over voice phones. This article discusses the specifications for appropriate equipment and protocols and presents the preliminary results of a study of such a system.

scholarly journals Efficient Multi-Object Detection and Smart Navigation Using Artificial Intelligence for Visually Impaired People

Entropy ◽  
2020 ◽  
Vol 22 (9) ◽  
pp. 941
Author(s):  
Rakesh Chandra Joshi ◽  
Saumya Yadav ◽  
Malay Kishore Dutta ◽  
Carlos M. Travieso-Gonzalez
Keyword(s):  
Artificial Intelligence ◽  
Object Detection ◽  
Real Time ◽  
Visually Impaired ◽  
Auditory Information ◽  
Visually Impaired People ◽  
Video Frames ◽  
Average Accuracy ◽  
Impaired People ◽  
Impaired Person

Visually impaired people face numerous difficulties in their daily life, and technological interventions may assist them to meet these challenges. This paper proposes an artificial intelligence-based fully automatic assistive technology to recognize different objects, and auditory inputs are provided to the user in real time, which gives better understanding to the visually impaired person about their surroundings. A deep-learning model is trained with multiple images of objects that are highly relevant to the visually impaired person. Training images are augmented and manually annotated to bring more robustness to the trained model. In addition to computer vision-based techniques for object recognition, a distance-measuring sensor is integrated to make the device more comprehensive by recognizing obstacles while navigating from one place to another. The auditory information that is conveyed to the user after scene segmentation and obstacle identification is optimized to obtain more information in less time for faster processing of video frames. The average accuracy of this proposed method is 95.19% and 99.69% for object detection and recognition, respectively. The time complexity is low, allowing a user to perceive the surrounding scene in real time.

scholarly journals Effective Shopping Method for Visually Impaired People using Optical Character Recognition

2019 ◽  
Vol 9 (1) ◽  
pp. 5304-5306
Keyword(s):  
Character Recognition ◽  
Optical Character Recognition ◽  
Visually Impaired ◽  
Detection Method ◽  
General Terms ◽  
Visually Impaired People ◽  
Impaired People ◽  
Text Reading ◽  
Blind User ◽  
Blind Persons

Visual impairment persons are not able to do all works as normal persons especially during purchasing products in supermarket. To help the blind peoples recognise the objects a text reading method is proposed along with the help of camera. A motion detection method is used to detect the presence of the object. The audio instructions about all the objects and their location in supermarket are notified to the blind user that helps them to move freely inside the supermarket. The proposed system aims to make more convenient for the blind persons to purchase in a sophisticated environment. This system also provides easy shopping, consumers time is saved, etc. The implementation of proposed system is done using artificial intelligence and OCR technology. General Terms Visually impaired people, smart shopping, OCR.

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