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Implementation of Crosswalk Lights Recognition System for the Blind's Safety

Authors
Park H.Won H.Ou S.Lee J.
Issue Date
Oct-2019
Publisher
Institute of Electrical and Electronics Engineers Inc.
Keywords
Crosswalk Light Detection; Object Detection; Raspberry Pi; Visually Impaired; Voice Guidance
Citation
2019 IEEE Eurasia Conference on IOT, Communication and Engineering, ECICE 2019, pp.183 - 186
Journal Title
2019 IEEE Eurasia Conference on IOT, Communication and Engineering, ECICE 2019
Start Page
183
End Page
186
URI
https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/2802
DOI
10.1109/ECICE47484.2019.8942696
Abstract
Recently, disabled people are exposed to various risk of traffic accidents, but, at the time of this writing, the installation rate of sound signals for the visually impaired is very low, at 57% in South Korea. In this paper, we focused on several recent services that help the visually impaired to walk safely and try to help the visually impaired through voice guidance. In this paper, we proposed crosswalk lights recognition system for the visually impaired providing real-time lights state by voice so that safe walking environment of the visually impaired can be guaranteed. We implemented crosswalk lights recognition system prototype using IoT parts like Raspberry Pi. Unlike the conventional sound guidance, we tried to provide voice guidance through crosswalk lights image recognition. The performance evaluation achieved a recognition success rate of 92.7% by day and 67.3% by night. © 2019 IEEE.
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