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Vol.14, No.2, May 2025. ISSN: 2217-8309 eISSN: 2217-8333
TEM Journal
TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS Association for Information Communication Technology Education and Science |
Facial Recognition in Transportation System to Boost Students’ Safety
Rsha Mirza, Hind Bitar, Ayman Alfahid, Rahaf Albarakati, Bashyer Alsulami, Abrar Alkhamjani
© 2025 Rsha Mirza, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)
Citation Information: TEM Journal. Volume 14, Issue 2, Pages 1084-1096, ISSN 2217-8309, DOI: 10.18421/TEM142-10, May 2025.
Received: 08 October 2024. Revised: 13 February 2025.
Abstract:
For a large proportion of students worldwide, school buses are the main mode of transportation. However, parents, drivers, and school administrators continue to place a high premium on ensuring children's safety when riding school buses. Despite the implementation of several security measures, accidents still occur where children inadvertently leave themselves on school buses, sometimes leading to fatalities. The purpose of this project is to design and develop a system, named iSee, to increase school transportation's efficacy. The system tracks and analyzes children's movements as getting on and off school buses using artificial intelligence and facial recognition software to ensure being safe in real-time. Following this, an assessment of the system revealed high levels of user satisfaction and accuracy in the facial recognition model. With a focus on enhancing school transportation efficiency by guaranteeing children's safety while on school transportation, this study is significant because it can potentially improve the transportation industry as a whole.
Keywords – Artificial intelligence, face recognition, deep learning, school transportation, safety |
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