Title: | Wearable assistant guiding through traffic, Development and optimization of a portable guidance system for the blind and visually impaired with the application of artificial intelligence |
Authors: | Nemes, Tamas, Gymnasium der Regensburger Domspatzen, Regensburg |
Contributors: | Editor: Physikalisch-Technische Bundesanstalt (PTB), ISNI: 0000 0001 2186 1887 HostingInstitution: Physikalisch-Technische Bundesanstalt (PTB), ISNI: 0000 0001 2186 1887 |
Pages: | 16 |
Language: | en |
DOI: | 10.7795/320.202205 |
Resource Type: | Text / Article |
Publisher: | Physikalisch-Technische Bundesanstalt (PTB) |
Rights: | Vervielfältigung nur zum eigenen persönlichen Gebrauch. |
Dates: |
Available: 2022-10-11 Accepted: 2021-08-25 Submitted: 2021-06-18 |
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Keywords: | Hearable Environment ; Image Processing ; Artificial Intelligence ; Assistive Technologies ; Blind Navigation ; Visual Impairment ; Guide System ; Object Detection ; Obstacle Avoidance ; Convolutional Neural Network |
Abstract: | This work describes a new type of portable, self-regulating guidance system, which learns to recognize obstacles with the help of a camera, artificial intelligence, and various sensors and thus warn the wearer through audio signals. It will be described how the individual components are constructed, how they perform in real-life applications, and how those affected commented on the final device. |
Series Information: | Junge Wissenschaft. Paper 05/2022 |
Other: | In der Jungen Wissenschaft werden Forschungsarbeiten von Schüler/innen, die selbstständig, z.B. in einer Schule oder einem Schülerforschungszentrum, durchgeführt wurden, veröffentlicht. |
Citation: | Nemes, Tamas. Wearable assistant guiding through traffic. Development and optimization of a portable guidance system for the blind and visually impaired with the application of artificial intelligence. Physikalisch-Technische Bundesanstalt (PTB), 2022. Verfügbar unter: https://doi.org/10.7795/320.202205 |