Design and implementation of Braille learning machine based on Internet of Things technology

Weipu Liu; Fengjie Wu; Shenghui Li; Guangpeng Mo; Wenjun Luo; Qingkun Liu

doi:10.1117/12.2684167

14 June 2023 Design and implementation of Braille learning machine based on Internet of Things technology

Weipu Liu, Fengjie Wu, Shenghui Li, Guangpeng Mo, Wenjun Luo, Qingkun Liu

Proceedings Volume 12708, 3rd International Conference on Internet of Things and Smart City (IoTSC 2023）; 127080O (2023) https://doi.org/10.1117/12.2684167
Event: 3rd International Conference on Internet of Things and Smart City (IoTSC 2023）, 2023, Chongqing, China

Abstract

In order to meet the needs of the visually impaired to learn Braille and improve the efficiency of teachers teaching Braille, this paper uses Internet of Things technology and embedded technology to design a new type of Braille learning machine to optimize the existing Braille teaching. The Braille teaching system is designed through the MQTT protocol to realize the network control of multiple Braille learning machines. A micro motor is used to control the lifting of a single braille bump, and a dual CPU control architecture is used to control the lifting of the braille bump, which improves its reusability compared with traditional braille boards. We tested the accuracy of Braille conversion, and the experimental results were in line with expectations. This research can better serve the visually impaired and bring convenience to their Braille learning.

Citation Download Citation

Weipu Liu, Fengjie Wu, Shenghui Li, Guangpeng Mo, Wenjun Luo, and Qingkun Liu "Design and implementation of Braille learning machine based on Internet of Things technology", Proc. SPIE 12708, 3rd International Conference on Internet of Things and Smart City (IoTSC 2023）, 127080O (14 June 2023); https://doi.org/10.1117/12.2684167

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