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MUTMA’INN: An AI-Driven Edge–Cloud Framework for Safe and Intelligent School Bus Transportation

by Ahad Alotaibi, Rayana Aldulaijan, Aljoharah Alabdulmohsen, Danah Aljowaiser, Rawdah Alhindi, Asiya Abdus Salam, Mona Albinali, Rabab Alkhalifa
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 187 - Number 106
Year of Publication: 2026
Authors: Ahad Alotaibi, Rayana Aldulaijan, Aljoharah Alabdulmohsen, Danah Aljowaiser, Rawdah Alhindi, Asiya Abdus Salam, Mona Albinali, Rabab Alkhalifa
10.5120/ijca74a31f4d5e1d

Ahad Alotaibi, Rayana Aldulaijan, Aljoharah Alabdulmohsen, Danah Aljowaiser, Rawdah Alhindi, Asiya Abdus Salam, Mona Albinali, Rabab Alkhalifa . MUTMA’INN: An AI-Driven Edge–Cloud Framework for Safe and Intelligent School Bus Transportation. International Journal of Computer Applications. 187, 106 ( May 2026), 1-9. DOI=10.5120/ijca74a31f4d5e1d

@article{ 10.5120/ijca74a31f4d5e1d,
author = { Ahad Alotaibi, Rayana Aldulaijan, Aljoharah Alabdulmohsen, Danah Aljowaiser, Rawdah Alhindi, Asiya Abdus Salam, Mona Albinali, Rabab Alkhalifa },
title = { MUTMA’INN: An AI-Driven Edge–Cloud Framework for Safe and Intelligent School Bus Transportation },
journal = { International Journal of Computer Applications },
issue_date = { May 2026 },
volume = { 187 },
number = { 106 },
month = { May },
year = { 2026 },
issn = { 0975-8887 },
pages = { 1-9 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume187/number106/mutmainn-an-ai-driven-edgecloud-framework-for-safe-and-intelligent-school-bus-transportation/ },
doi = { 10.5120/ijca74a31f4d5e1d },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2026-05-17T02:29:29.144790+05:30
%A Ahad Alotaibi
%A Rayana Aldulaijan
%A Aljoharah Alabdulmohsen
%A Danah Aljowaiser
%A Rawdah Alhindi
%A Asiya Abdus Salam
%A Mona Albinali
%A Rabab Alkhalifa
%T MUTMA’INN: An AI-Driven Edge–Cloud Framework for Safe and Intelligent School Bus Transportation
%J International Journal of Computer Applications
%@ 0975-8887
%V 187
%N 106
%P 1-9
%D 2026
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Student safety during daily school transportation remains a major concern, particularly in systems that rely mainly on GPS tracking and manual supervision. Existing approaches often lack proactive safety mechanisms for monitoring both student attendance and driver condition in real time. This paper presents MUTMA’INN derived from the Arabic word “مطمئن”, meaning being reassured, at peace, or tranquil, reflecting the system’s role in ensuring the safety and security of students during transportation. The proposed system is an AI-powered school bus safety framework designed to improve the security and reliability of daily student transportation in alignment with Saudi Vision 2030’s Quality of Life Program. The proposed system consists of two integrated components: a cross-platform Flutter mobile application for parents, drivers, and school administrators, and a python-based edge system connected to Firebase for real-time synchronization. The framework automates student attendance through facial recognition at the bus gate, reducing manual effort and the risk of human error. In addition, it monitors the driver using contactless remote photoplethysmography and facial analysis techniques to estimate heart rate and detect signs of fatigue or emotional distress. When abnormal conditions are detected, immediate alerts are sent to administrators to support timely intervention. By combining mobile computing, edge intelligence, computer vision, and cloud services into a unified platform, MUTMA’INN provides a proactive approach to school transportation safety. The proposed framework demonstrates how AI can support safer and more intelligent student transit systems.

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Index Terms

Computer Science
Information Sciences

Keywords

Remote Photoplethysmography (rPPG) Driver Monitoring System Computer Vision Facial Recognition Emotion Detection Smart Transportation Internet of Things (IoT).

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