Cargando…
IoT Enabled Intelligent Stick for Visually Impaired People for Obstacle Recognition
This paper presents the design, development, and testing of an IoT-enabled smart stick for visually impaired people to navigate the outside environment with the ability to detect and warn about obstacles. The proposed design employs ultrasonic sensors for obstacle detection, a water sensor for sensi...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9698640/ https://www.ncbi.nlm.nih.gov/pubmed/36433511 http://dx.doi.org/10.3390/s22228914 |
_version_ | 1784838871849107456 |
---|---|
author | Farooq, Muhammad Siddique Shafi, Imran Khan, Harris Díez, Isabel De La Torre Breñosa, Jose Espinosa, Julio César Martínez Ashraf, Imran |
author_facet | Farooq, Muhammad Siddique Shafi, Imran Khan, Harris Díez, Isabel De La Torre Breñosa, Jose Espinosa, Julio César Martínez Ashraf, Imran |
author_sort | Farooq, Muhammad Siddique |
collection | PubMed |
description | This paper presents the design, development, and testing of an IoT-enabled smart stick for visually impaired people to navigate the outside environment with the ability to detect and warn about obstacles. The proposed design employs ultrasonic sensors for obstacle detection, a water sensor for sensing the puddles and wet surfaces in the user’s path, and a high-definition video camera integrated with object recognition. Furthermore, the user is signaled about various hindrances and objects using voice feedback through earphones after accurately detecting and identifying objects. The proposed smart stick has two modes; one uses ultrasonic sensors for detection and feedback through vibration motors to inform about the direction of the obstacle, and the second mode is the detection and recognition of obstacles and providing voice feedback. The proposed system allows for switching between the two modes depending on the environment and personal preference. Moreover, the latitude/longitude values of the user are captured and uploaded to the IoT platform for effective tracking via global positioning system (GPS)/global system for mobile communication (GSM) modules, which enable the live location of the user/stick to be monitored on the IoT dashboard. A panic button is also provided for emergency assistance by generating a request signal in the form of an SMS containing a Google maps link generated with latitude and longitude coordinates and sent through an IoT-enabled environment. The smart stick has been designed to be lightweight, waterproof, size adjustable, and has long battery life. The overall design ensures energy efficiency, portability, stability, ease of access, and robust features. |
format | Online Article Text |
id | pubmed-9698640 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96986402022-11-26 IoT Enabled Intelligent Stick for Visually Impaired People for Obstacle Recognition Farooq, Muhammad Siddique Shafi, Imran Khan, Harris Díez, Isabel De La Torre Breñosa, Jose Espinosa, Julio César Martínez Ashraf, Imran Sensors (Basel) Article This paper presents the design, development, and testing of an IoT-enabled smart stick for visually impaired people to navigate the outside environment with the ability to detect and warn about obstacles. The proposed design employs ultrasonic sensors for obstacle detection, a water sensor for sensing the puddles and wet surfaces in the user’s path, and a high-definition video camera integrated with object recognition. Furthermore, the user is signaled about various hindrances and objects using voice feedback through earphones after accurately detecting and identifying objects. The proposed smart stick has two modes; one uses ultrasonic sensors for detection and feedback through vibration motors to inform about the direction of the obstacle, and the second mode is the detection and recognition of obstacles and providing voice feedback. The proposed system allows for switching between the two modes depending on the environment and personal preference. Moreover, the latitude/longitude values of the user are captured and uploaded to the IoT platform for effective tracking via global positioning system (GPS)/global system for mobile communication (GSM) modules, which enable the live location of the user/stick to be monitored on the IoT dashboard. A panic button is also provided for emergency assistance by generating a request signal in the form of an SMS containing a Google maps link generated with latitude and longitude coordinates and sent through an IoT-enabled environment. The smart stick has been designed to be lightweight, waterproof, size adjustable, and has long battery life. The overall design ensures energy efficiency, portability, stability, ease of access, and robust features. MDPI 2022-11-18 /pmc/articles/PMC9698640/ /pubmed/36433511 http://dx.doi.org/10.3390/s22228914 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Farooq, Muhammad Siddique Shafi, Imran Khan, Harris Díez, Isabel De La Torre Breñosa, Jose Espinosa, Julio César Martínez Ashraf, Imran IoT Enabled Intelligent Stick for Visually Impaired People for Obstacle Recognition |
title | IoT Enabled Intelligent Stick for Visually Impaired People for Obstacle Recognition |
title_full | IoT Enabled Intelligent Stick for Visually Impaired People for Obstacle Recognition |
title_fullStr | IoT Enabled Intelligent Stick for Visually Impaired People for Obstacle Recognition |
title_full_unstemmed | IoT Enabled Intelligent Stick for Visually Impaired People for Obstacle Recognition |
title_short | IoT Enabled Intelligent Stick for Visually Impaired People for Obstacle Recognition |
title_sort | iot enabled intelligent stick for visually impaired people for obstacle recognition |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9698640/ https://www.ncbi.nlm.nih.gov/pubmed/36433511 http://dx.doi.org/10.3390/s22228914 |
work_keys_str_mv | AT farooqmuhammadsiddique iotenabledintelligentstickforvisuallyimpairedpeopleforobstaclerecognition AT shafiimran iotenabledintelligentstickforvisuallyimpairedpeopleforobstaclerecognition AT khanharris iotenabledintelligentstickforvisuallyimpairedpeopleforobstaclerecognition AT diezisabeldelatorre iotenabledintelligentstickforvisuallyimpairedpeopleforobstaclerecognition AT brenosajose iotenabledintelligentstickforvisuallyimpairedpeopleforobstaclerecognition AT espinosajuliocesarmartinez iotenabledintelligentstickforvisuallyimpairedpeopleforobstaclerecognition AT ashrafimran iotenabledintelligentstickforvisuallyimpairedpeopleforobstaclerecognition |