Enhanced Mobility Aid for the Visually Impaired: An Ultrasonic Sensor and Arduino-Based Smart Walking Stick

Shahzor Memon; Mirza Muhammad Aamir; Sadiq Ur Rehman; Halar Mustafa; Muhammad Shakir Sheikh

doi:10.36561/ING.28.3

Autores

Shahzor Memon Hamdard University, Pakisán https://orcid.org/0009-0008-8867-7070
Mirza Muhammad Aamir Hamdard University, Pakistán https://orcid.org/0009-0009-5304-1950
Sadiq Ur Rehman Hamdard University, Pakistán https://orcid.org/0000-0002-6308-450X
Halar Mustafa Hamdard University, Pakistán https://orcid.org/0000-0002-7021-5010
Muhammad Shakir Sheikh Hamdard University, Pakistán https://orcid.org/0009-0005-5902-6461

DOI:

https://doi.org/10.36561/ING.28.3

Palavras-chave:

Sensor ultrassónico, microcontrolador Arduino ATmega328, ajuda à mobilidade, pessoa com deficiência visual, Sistema de alarme

Resumo

Este estudo apresenta uma bengala inteligente para cegos e com deficiência visual que utiliza sensores ultrassónicos com Arduino e Raspberry Pi. A Organização Mundial de Saúde estima que 37 milhões de pessoas em todo o mundo são cegas. As pessoas cegas ou com deficiência visual dependem frequentemente da assistência de fontes externas, que pode surgir sob a forma de seres humanos, cães treinados ou dispositivos tecnológicos especializados que desempenham o papel de sistemas de apoio à tomada de decisões. Fomos então inspirados a criar uma bengala inteligente para contornar estas restrições. Para tal, equipámos o stick com sensores ultrassónicos em locais estratégicos que ativavam o som da campainha e davam ao utilizador informações sobre o meio envolvente. A nossa proposta foi um dispositivo leve e de baixo custo que utiliza um microcontrolador para interpretar sinais e emitir sinais sonoros para avisar o deficiente visual de qualquer obstáculo, água ou local escuro. O sistema é constituído por sensores de deteção de obstáculos e humidade que recebem, processam e enviam sinais para o sistema de alarme, que avisa o utilizador para agir. O sistema foi concebido e programado em C, testado quanto à sua precisão e verificado por um deficiente visual. A nossa tecnologia pode identificar obstruções a cerca de 2 metros do utilizador.

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