Almomani, A, Alauthman, Mohammad, Malkawi, Amal, Shwaihet, Hadeel, Aldigide, Batool, Aldabeek, Donia and Hamoodeh, Karmen Abu Smart Shoes Safety System for the Blind People Based on (IoT) Technology. Computers, Materials & Continua. ISSN 1546-2218
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Abstract
People’s lives have become easier and simpler as technology has proliferated. This is especially true with the Internet of Things (IoT). The biggest problem for blind people is figuring out how to get where they want to go. People with good eyesight need to help these people. Smart shoes are a technique that helps blind people find their way when they walk. So, a special shoe has been made to help blind people walk safely without worrying about running into other people or solid objects. In this research, we are making a new safety system and a smart shoe for blind people. The system is based on Internet of Things (IoT) technology and uses three ultrasonic sensors to allow users to hear and react to barriers. It has ultrasonic sensors and a microprocessor that can tell how far away something is and if there are any obstacles. Water and flame sensors were used, and a sound was used to let the person know if an obstacle was near him. The sensors use Global Positioning System (GPS) technology to detect motion from almost every side to keep an eye on them and ensure they are safe. To test our proposal, we gave a questionnaire to 100 people. The questionnaire has eleven questions, and 99.1% of the people who filled it out said that the product meets their needs.
Affiliation: | Skyline University College |
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SUC Author(s): | Almomani, A ORCID: https://orcid.org/0000-0002-8808-6114 |
All Author(s): | Almomani, A, Alauthman, Mohammad, Malkawi, Amal, Shwaihet, Hadeel, Aldigide, Batool, Aldabeek, Donia and Hamoodeh, Karmen Abu |
Item Type: | Article |
Uncontrolled Keywords: | IoT, smart shoe, sensors, GSM, GPS, Arduino, blind people, safety system |
Subjects: | B Information Technology > BB Information Technology B Information Technology > BM Artificial Intelligence B Information Technology > BP Internet of Things |
Divisions: | Skyline University College > School of IT |
Depositing User: | Mr Mosys Team |
Date Deposited: | 25 Dec 2023 13:57 |
Last Modified: | 25 Dec 2023 13:58 |
URI: | https://research.skylineuniversity.ac.ae/id/eprint/605 |
Publisher URL: | https://doi.org/10.32604/cmc.2023.036266 |
Publisher OA policy: | https://v2.sherpa.ac.uk/id/publication/37365 |
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