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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Language: | English |
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Universidad de Montevideo
2025-06-01
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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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format | Article |
id | doaj-art-af9d4ec5c83a49f0bb0f16efea13a20b |
institution | Matheson Library |
issn | 2301-1092 2301-1106 |
language | English |
publishDate | 2025-06-01 |
publisher | Universidad de Montevideo |
record_format | Article |
series | Memoria Investigaciones en Ingeniería |
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 |