LEITOR DE MEDICAMENTO PARA DEFICIENTES VISUAIS

The Lemevi project aims to create an assistive device for visually impaired individuals, facilitating the identification of medications through tag reading. Developed to enhance user autonomy and safety, the device faces challenges such as reading accuracy and durability. Arduino was chosen for its versatility and low cost, enabling rapid and effective prototyping. The research combined qualitative and quantitative methods, including interviews with visually impaired individuals and device testing. These methods helped tailor Lemevi to user needs, resulting in a robust and reliable product. Design adjustments and continuous improvements were based on feedback from testing, confirming the device's effectiveness in tag reading. The addition of a mobile data chip update system represents a significant advancement, expanding the device's functionality to other areas such as food and beverages. The project demonstrates a commitment to social inclusion and quality of life improvement, with prospects for partnerships to make the device accessible to low-income individuals. It is an innovative solution that highlights the importance of Arduino in developing assistive technologies.

Authors

Publication Details

Journal
Revista Interface Tecnológica
Published
2025-09-17
DOI
https://doi.org/10.31510/infa.v21i2.2068
Primary Topic
Academic Research in Diverse Fields
Type
article
Field-Weighted Citation Impact
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article

LEITOR DE MEDICAMENTO PARA DEFICIENTES VISUAIS

Fabricio Domingues Antonio, Juliana Aguiar, Arthur Carrasqueira, Edemar Ferrarezi
Revista Interface Tecnológica
Academic Research in Diverse Fields
article

LEITOR DE MEDICAMENTO PARA DEFICIENTES VISUAIS

Fabricio Domingues Antonio, Juliana Aguiar, Arthur Carrasqueira, Edemar Ferrarezi
article en

Abstract

The Lemevi project aims to create an assistive device for visually impaired individuals, facilitating the identification of medications through tag reading. Developed to enhance user autonomy and safety, the device faces challenges such as reading accuracy and durability. Arduino was chosen for its versatility and low cost, enabling rapid and effective prototyping. The research combined qualitative and quantitative methods, including interviews with visually impaired individuals and device testing. These methods helped tailor Lemevi to user needs, resulting in a robust and reliable product. Design adjustments and continuous improvements were based on feedback from testing, confirming the device's effectiveness in tag reading. The addition of a mobile data chip update system represents a significant advancement, expanding the device's functionality to other areas such as food and beverages. The project demonstrates a commitment to social inclusion and quality of life improvement, with prospects for partnerships to make the device accessible to low-income individuals. It is an innovative solution that highlights the importance of Arduino in developing assistive technologies.

Revista Interface TecnológicaVol. 21(2)
Openalex Percentile: Top 72%
Academic Research in Diverse Fields
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