Intelligent school bus monitoring using Ai for real-time parent alerts and child safety

In recent times, safeguarding the well-being of school children during their daily travel has turned into a major priority for parents and educational organizations. Conventional monitoring systems do not offer real-time tracking or smart alert features, which hinders quick responses to emergencies and maintaining steady communication with parents. This initiative introduces a Smart School Bus Tracking System that utilizes Artificial Intelligence (AI) and Global Positioning System (GPS) technology to improve child safety and offer parents real-time notifications. The system incorporates a camera module placed inside the bus that employs Haar Cascade-based facial recognition to identify and document every student as they enter and leave the vehicle. This guarantees precise recording of student attendance and movement. When a child's face is recognized and verified, an automatic notification is dispatched to the parent through email or a mobile alert, confirming the child's existence on the bus. Furthermore, the system utilizes GPS tracking, allowing parents to track the real-time location of the school bus via a mobile app or web portal, providing transparency and reassurance. The suggested system greatly enhances the safety, efficiency, and reliability of school transportation by merging computer vision methods with real-time tracking and automated communication. It decreases human mistakes, lowers the chance of students being misplaced, and guarantees that parents are regularly updated. This clever solution embodies a progressive strategy for ensuring child safety in school transport systems and corresponds with the increasing demand for intelligent monitoring in public infrastructure.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-03
DOI
https://doi.org/10.5281/zenodo.15586783
Primary Topic
IoT and GPS-based Vehicle Safety Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Intelligent school bus monitoring using Ai for real-time parent alerts and child safety

Zenodo (CERN European Organization for Nuclear Research)
IoT and GPS-based Vehicle Safety Systems
article

Intelligent school bus monitoring using Ai for real-time parent alerts and child safety

article en

Abstract

In recent times, safeguarding the well-being of school children during their daily travel has turned into a major priority for parents and educational organizations. Conventional monitoring systems do not offer real-time tracking or smart alert features, which hinders quick responses to emergencies and maintaining steady communication with parents. This initiative introduces a Smart School Bus Tracking System that utilizes Artificial Intelligence (AI) and Global Positioning System (GPS) technology to improve child safety and offer parents real-time notifications. The system incorporates a camera module placed inside the bus that employs Haar Cascade-based facial recognition to identify and document every student as they enter and leave the vehicle. This guarantees precise recording of student attendance and movement. When a child's face is recognized and verified, an automatic notification is dispatched to the parent through email or a mobile alert, confirming the child's existence on the bus. Furthermore, the system utilizes GPS tracking, allowing parents to track the real-time location of the school bus via a mobile app or web portal, providing transparency and reassurance. The suggested system greatly enhances the safety, efficiency, and reliability of school transportation by merging computer vision methods with real-time tracking and automated communication. It decreases human mistakes, lowers the chance of students being misplaced, and guarantees that parents are regularly updated. This clever solution embodies a progressive strategy for ensuring child safety in school transport systems and corresponds with the increasing demand for intelligent monitoring in public infrastructure.

Zenodo (CERN European Organization for Nuclear Research)
Vels University (IN)
Openalex Percentile: Top 53%
IoT and GPS-based Vehicle Safety Systems
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Intelligent school bus monitoring using Ai for real-time parent alerts and child safety · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS