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    IoT Based Surveillance Model for Monitoring School Children

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    Kilot Arvin Journal.pdf (113.8Kb)
    Date
    2024-11
    Author
    KILOT, IRVIN KIPLAGAT
    Masese, Dr. Nelson
    Karume, Prof. Simon Maina
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    Abstract
    Due to their inherent vulnerability, reliance on caregivers, and limited understanding of potential hazards and self-defense, children are naturally prone to accidents, exploitation, and various forms of abuse. Recent media coverage has shown an alarming increase in crimes targeting children, including abductions and murders, intensifying concerns about child safety. Because children spend a majority of their time in school, it is the joint duty of both the school and parents to ensure the continuous monitoring and care of children. The popular method of accounting for children in Kenyan schools is by performing a physical head count and checking of class lists. This process can be long, tiresome and hard to maintain for the those concerned. Furthermore, the process is not efficient enough for the school to know whether students are absent from classes during the course of the day. To improve the situation, surveillance of children has to be done properly and efficiently. In order to address the challenges related to monitoring and ensuring the attendance and safety of learners, it becomes imperative to embrace current technology. Technologies such as Global Positioning System, RadioFrequency Identification, Ultra Wide Band, Bluetooth Low Energy, Infrared, Wi-Fi and Zigbee and have been employed in object tracking scenarios. The general term given to these devices is Internet of Things(IoT). The utilization of IoT offers numerous possibilities for enhancing student, including the ability to track students' movements within the school premises. Consequently, this research will concentrate on the development of an IoT-based surveillance system for monitoring school children. weaknesses of IoT based surveillance models for monitoring children
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    http://ir.kabarak.ac.ke/handle/123456789/1631
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