Enhanced Mobility Aid for the Visually Impaired

This study introduces a smart walking stick for the blind and visually impaired that uses ultrasonic sensors with Arduino and Raspberry Pi. The World Health Organization estimates that 37 million people worldwide are blind. People who are blind or visually impaired frequently rely on assistance fro...

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Main Authors: Shahzor Memon, Mirza Muhammad Aamir, Sadiq Ur Rehman, Halar Mustafa, Muhammad Shakir Sheikh
Format: Article
Language:English
Published: Universidad de Montevideo 2025-06-01
Series:Memoria Investigaciones en Ingeniería
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Online Access:http://www.revistas.um.edu.uy/index.php/ingenieria/article/view/1535
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author Shahzor Memon
Mirza Muhammad Aamir
Sadiq Ur Rehman
Halar Mustafa
Muhammad Shakir Sheikh
author_facet Shahzor Memon
Mirza Muhammad Aamir
Sadiq Ur Rehman
Halar Mustafa
Muhammad Shakir Sheikh
author_sort Shahzor Memon
collection DOAJ
description This study introduces a smart walking stick for the blind and visually impaired that uses ultrasonic sensors with Arduino and Raspberry Pi. The World Health Organization estimates that 37 million people worldwide are blind. People who are blind or visually impaired frequently rely on assistance from outside sources, which may come in the form of humans, dogs that have been trained, or specialized technological gadgets that play the role of decision-making support systems. We were then inspired to create a smart walking stick in order to get around these restrictions. In order to achieve this, we fitted the stick with ultrasonic sensors at strategic locations that activated the buzzer sound while giving the user information about the surroundings. Our proposal was for a low-cost, lightweight device that uses a microcontroller to interpret signals and emit beeps to notify the visually impaired individual of any obstacles, water, or dark places. The system consists of obstacle and moisture detection sensors that receive, process, and send signals to the alarm system, which then warns the user to take action. The system was conceived and programmed in C, tested for accuracy, and checked by a visually challenged individual. Our technology can identify obstructions within around 2 meters of the user.
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language English
publishDate 2025-06-01
publisher Universidad de Montevideo
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spelling doaj-art-af9d4ec5c83a49f0bb0f16efea13a20b2025-07-22T22:09:25ZengUniversidad de MontevideoMemoria Investigaciones en Ingeniería2301-10922301-11062025-06-012810.36561/ING.28.3Enhanced Mobility Aid for the Visually ImpairedShahzor Memon0https://orcid.org/0009-0008-8867-7070Mirza Muhammad Aamir1https://orcid.org/0009-0009-5304-1950Sadiq Ur Rehman2https://orcid.org/0000-0002-6308-450XHalar Mustafa3https://orcid.org/0000-0002-7021-5010Muhammad Shakir Sheikh4https://orcid.org/0009-0005-5902-6461Hamdard University, PakisánHamdard University, PakistánHamdard University, PakistánHamdard University, PakistánHamdard University, Pakistán This study introduces a smart walking stick for the blind and visually impaired that uses ultrasonic sensors with Arduino and Raspberry Pi. The World Health Organization estimates that 37 million people worldwide are blind. People who are blind or visually impaired frequently rely on assistance from outside sources, which may come in the form of humans, dogs that have been trained, or specialized technological gadgets that play the role of decision-making support systems. We were then inspired to create a smart walking stick in order to get around these restrictions. In order to achieve this, we fitted the stick with ultrasonic sensors at strategic locations that activated the buzzer sound while giving the user information about the surroundings. Our proposal was for a low-cost, lightweight device that uses a microcontroller to interpret signals and emit beeps to notify the visually impaired individual of any obstacles, water, or dark places. The system consists of obstacle and moisture detection sensors that receive, process, and send signals to the alarm system, which then warns the user to take action. The system was conceived and programmed in C, tested for accuracy, and checked by a visually challenged individual. Our technology can identify obstructions within around 2 meters of the user. http://www.revistas.um.edu.uy/index.php/ingenieria/article/view/1535Ultrasonic sensorArduino ATmega328 MicrocontrollerMobility aidVisually Impaired PersonAlarm system
spellingShingle Shahzor Memon
Mirza Muhammad Aamir
Sadiq Ur Rehman
Halar Mustafa
Muhammad Shakir Sheikh
Enhanced Mobility Aid for the Visually Impaired
Memoria Investigaciones en Ingeniería
Ultrasonic sensor
Arduino ATmega328 Microcontroller
Mobility aid
Visually Impaired Person
Alarm system
title Enhanced Mobility Aid for the Visually Impaired
title_full Enhanced Mobility Aid for the Visually Impaired
title_fullStr Enhanced Mobility Aid for the Visually Impaired
title_full_unstemmed Enhanced Mobility Aid for the Visually Impaired
title_short Enhanced Mobility Aid for the Visually Impaired
title_sort enhanced mobility aid for the visually impaired
topic Ultrasonic sensor
Arduino ATmega328 Microcontroller
Mobility aid
Visually Impaired Person
Alarm system
url http://www.revistas.um.edu.uy/index.php/ingenieria/article/view/1535
work_keys_str_mv AT shahzormemon enhancedmobilityaidforthevisuallyimpaired
AT mirzamuhammadaamir enhancedmobilityaidforthevisuallyimpaired
AT sadiqurrehman enhancedmobilityaidforthevisuallyimpaired
AT halarmustafa enhancedmobilityaidforthevisuallyimpaired
AT muhammadshakirsheikh enhancedmobilityaidforthevisuallyimpaired