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AI-Enabled Wearable IoT Device for Facial Recognition in Student Transportation Systems
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Author(s): Majdi Rawashdeh (Department of Business Information Technology, Princess Sumaya University for Technology, Amman, Jordan; and College of Engineering, Al Yamamah University, Riyadh, Saudi Arabia), Dhai Eddine Salhi (College of Engineering, Al Yamamah University, Riyadh, Saudi Arabia), Awny Alnusair (Department of Computer Science and Informatics, Indiana University Kokomo, USA)and Ali Karime (Department of Electrical and Computer Engineering, Royal Military College of Canada, Canada)
Copyright: 2026
Volume: 16
Issue: 1
Pages: 14
Source title:
International Journal of Cloud Applications and Computing (IJCAC)
Editor(s)-in-Chief: B. B. Gupta (Asia University, Taichung City, Taiwan)
DOI: 10.4018/IJCAC.405410
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Abstract
The demand for smart safety solutions has increased, especially for vulnerable groups such as women, children, and the elderly. This study presents a wearable-based intelligent safety and emergency alert system that enables real-time monitoring and rapid response in critical situations. The system combines wearable sensors, a mobile application, and cloud communication to detect distress using signals such as panic button activation, abnormal motion, and irregular vital signs. When a potential emergency is detected, instant alerts are sent to pre-defined contacts and emergency services along with the user's real-time location. The proposed solution integrates embedded systems, wireless communication, and internet of things technologies to ensure reliability and ease of use. The wearable device is lightweight and discreet, while the mobile application supports both manual and automated alerts. Ethical aspects are also addressed, with a focus on data privacy, secure communication, and user consent. This system aims to improve personal safety and reduce emergency response time.
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