scholarly journals Computer Vision and Deep Learning-Enabled UAVs: Proposed Use Cases for Visually Impaired People in a Smart City

2019 ◽  
pp. 91-99 ◽  
Author(s):  
Moustafa M. Nasralla ◽  
Ikram U. Rehman ◽  
Drishty Sobnath ◽  
Sara Paiva
Keyword(s):  
Computer Vision ◽  
Deep Learning ◽  
Smart City ◽  
Visually Impaired ◽  
Use Cases ◽  
Visually Impaired People ◽  
Impaired People

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

scholarly journals Indoor Navigation Systems for Blind People

2018 ◽  
Author(s):  
Ali Hojjat
Keyword(s):  
Computer Vision ◽  
Visually Impaired ◽  
Indoor Navigation ◽  
Blind People ◽  
Navigation Systems ◽  
Visually Impaired People ◽  
Impaired People ◽  
Outdoor Environments

Indoor navigation systems must deal with absence of GPS signals, since they are only available in outdoor environments. Therefore, indoor systems have to rely upon other techniques for positioning users. Recently various indoor navigation systems have been designed and developed to help visually impaired people. In this paper an overview of some existing indoor navigation systems for visually impaired people are presented and they are compared from different perspectives. The evaluated techniques are ultrasonic systems, RFID-based solutions, computer vision aided navigation systems, ans smartphone-based applications.

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