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
File: Download File (application/pdf) 3.96 MB (4152891 Bytes)
MD5 Checksum: 69621e3761db4517f5345e55bc3e6a59
SHA256 Checksum: d31f2952dae0a56692cf07b4bb8daf06fd8cd27873a4394176142041ba623a9c
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