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Intelligent Visual Analytics Framework for Real-Time School Safety Monitoring Using Computer Vision and Machine Learning: Intelligent Visual Analytics for School Safety

  • Tung Vu,
  • Phuong Anh Nguyen,
  • Minh Le,
  • Quan Le,
  • Tuan Nguyen,
  • Long Nguyen,
  • Duy Nguyen,
  • Ngoc Le

摘要

Schools are facing increasing safety challenges, and traditional security methods are no longer effective. We have developed a new monitoring system that combines smart cameras with computer learning technology to address this problem. The system has three key components: first, it automatically detects unusual activities and potential threats; second, it uses advanced learning methods to connect multiple cameras while protecting student privacy; third, it secures data transmission between wireless devices. What makes this system special is that it handles both physical security and computer network protection together. It can process large amounts of video from different locations without slowing down the internet. School administrators can access simple dashboards showing real-time alerts and detailed reports, enabling quick responses to potential issues. Testing in actual school settings confirmed that the system successfully identifies security threats while following strict privacy regulations. All video analysis occurs through secure wireless networks, and generated reports comply with educational privacy standards.