Deep Learning Technique Based Visually Impaired People Using YOLO V3 Framework Mechanism

2021 ◽  
Author(s):  
A. Balachandar ◽  
E. Santhosh ◽  
A. Suriyakrishnan ◽  
N. Vigensh ◽  
S. Usharani ◽  
...  
Keyword(s):  
Deep Learning ◽  
Visually Impaired ◽  
Visually Impaired People ◽  
Impaired People ◽  
Learning Technique

scholarly journals Deep Learning Based Indian Currency Detection for Visually Challenged using VGG16

2020 ◽  
Vol 9 (2) ◽  
pp. 769-972
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Visually Impaired ◽  
Convolution Neural Network ◽  
Visually Impaired People ◽  
Impaired People ◽  
Learning Technique ◽  
Different Types ◽  
Visually Challenged ◽  
Banknote Recognition

Banknote recognition is a major problem faced by visually Challenged people. So we propose a system to help the visually Challenged people to identify the different types of Indian currencies through deep learning technique. In our proposed project, bank notes with different positions are directly fed into VGG 16, a pretrained model of convolution neural network which extracts deep features. From our work the visually impaired people will be able to recognize different types if Indian Currencies.

scholarly journals INFERRING THE SCALE AND CONTENT OF A MAP USING DEEP LEARNING

2020 ◽  
Vol XLIII-B4-2020 ◽  
pp. 17-24
Author(s):  
G. Touya ◽  
F. Brisebard ◽  
F. Quinton ◽  
A. Courtial
Keyword(s):  
Neural Networks ◽  
Deep Learning ◽  
Convolutional Neural Networks ◽  
Visually Impaired ◽  
The Other ◽  
Visually Impaired People ◽  
Impaired People ◽  
Tactile Maps

Abstract. Visually impaired people cannot use classical maps but can learn to use tactile relief maps. These tactile maps are crucial at school to learn geography and history as well as the other students. They are produced manually by professional transcriptors in a very long and costly process. A platform able to generate tactile maps from maps scanned from geography textbooks could be extremely useful to these transcriptors, to fasten their production. As a first step towards such a platform, this paper proposes a method to infer the scale and the content of the map from its image. We used convolutional neural networks trained with a few hundred maps from French geography textbooks, and the results show promising results to infer labels about the content of the map (e.g. ”there are roads, cities and administrative boundaries”), and to infer the extent of the map (e.g. a map of France or of Europe).

scholarly journals Deep Learning-Based Fake-Banknote Detection for the Visually Impaired People Using Visible-Light Images Captured by Smartphone Cameras

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 63144-63161 ◽  
Author(s):  
Tuyen Danh Pham ◽  
Chanhum Park ◽  
Dat Tien Nguyen ◽  
Ganbayar Batchuluun ◽  
Kang Ryoung Park
Keyword(s):  
Deep Learning ◽  
Visible Light ◽  
Visually Impaired ◽  
Visually Impaired People ◽  
Impaired People

Design for the visually impaired when traveling outdoors using omnidirectional imagery and image recognition

Impact ◽  
2020 ◽  
Vol 2020 (7) ◽  
pp. 34-36
Author(s):  
Tetsuaki Baba
Keyword(s):  
Deep Learning ◽  
Visually Impaired ◽  
The Elderly ◽  
Associate Professor ◽  
Ultrasonic Waves ◽  
Assistive Technologies ◽  
Closed Captioning ◽  
Visually Impaired People ◽  
Mobility Aids ◽  
Impaired People

Assistive technologies, such as devices to help perform tasks, cognitive aids, mobility aids, physical modifications in the built environment and closed captioning, help to improve or maintain a person's ability to complete day-to-day tasks. For example, assistive technologies can be helpful for people with disabilities or the elderly, enabling them to work around challenges they may encounter. The development of assistive technologies depends on datasets, which are used for training, testing or validation. Furthermore, making such datasets widely available can help advance the field of assistive technologies. One area in which assistive technologies can be useful is in helping people who are visually impaired. For example, electronic mobility aids use ultrasonic waves that reflect off objects in front of people, letting them know what is ahead. At the Division of Industrial Art, Faculty of System Design, Tokyo Metropolitan University, in Japan, Associate Professor Tetsuaki Baba is using a deep learning approach to develop assistive technology for visually impaired people. As a foundation for this work, he and his team have developed a dataset for developers to create deep learning vision-based applications for visually impaired people.

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