USING A VIRTUAL TWIN OF A BUILDING TO ENSURE SECURITY IN EDUCATIONAL INSTITUTIONS

Azat Absadyk, Yerdaulet Absattar
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Abstract

This research paper delves into the exploration of computer vision technology and digital twins as a means to enhance security measures in educational institutions. The study primarily focuses on the creation of a virtual replica of the first floor of a school and the integration of a person detection algorithm with the existing surveillance cameras. By leverag- ing the capabilities of the digital twin and real-time monitoring, comprehensive surveillance of the premises becomes feasible, resulting in simplified security operations. The paper sheds light on the significant potential of training neural networks for specific security tasks, such as the identification of weapons or the detection of anomalies in human behavior. These trained neural networks can be seamlessly integrated into the digital twin, thus ensuring public safety within the educational environment. The findings of this study provide substantial evidence for the effectiveness of computer vision technology and digital twins in bolstering security measures. The ability to create a virtual representation of the school’s first floor enables com- prehensive monitoring and surveillance, aiding in the prevention and prompt response to se- curity incidents. The integration of person detection algorithms further enhances the system’s capabilities by automatically identifying and tracking individuals within the premises. Addi- tionally, the deployment of neural networks for specialized security tasks adds an extra layer of protection, enabling the identification of potential threats and the detection of abnormal behavior patterns. By employing computer vision technology and digital twins, educational institutions can establish an advanced security infrastructure that optimizes monitoring, en- hances situational awareness, and ensures a safer environment for students, staff, and visitors. The research presented in this paper highlights the tremendous potential and practical impli- cations of these technologies in the realm of educational security.
利用建筑的虚拟孪生体来确保教育机构的安全
本研究报告探讨了计算机视觉技术和数字孪生作为加强教育机构安全措施的手段。该研究主要侧重于创建一个学校一楼的虚拟复制品,并将人员检测算法与现有的监控摄像头集成在一起。通过利用数字孪生和实时监控的能力,对房地进行全面监控变得可行,从而简化了安全操作。这篇论文揭示了训练神经网络用于特定安全任务的巨大潜力,比如武器识别或人类行为异常的检测。这些经过训练的神经网络可以无缝地集成到数字孪生体中,从而确保教育环境中的公共安全。这项研究的结果为计算机视觉技术和数字孪生在加强安全措施方面的有效性提供了实质性的证据。能够创建学校一楼的虚拟表示,可以进行全面的监控和监视,有助于预防和迅速响应安全事件。人员检测算法的集成通过自动识别和跟踪场所内的个人进一步提高了系统的能力。此外,为专门的安全任务部署神经网络增加了额外的保护层,从而能够识别潜在威胁并检测异常行为模式。通过采用计算机视觉技术和数字孪生,教育机构可以建立先进的安全基础设施,优化监控,增强态势感知,并确保为学生、员工和访客提供更安全的环境。本文的研究突出了这些技术在教育安全领域的巨大潜力和实际意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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