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AI-BASED AVALANCHE ASSISTANCE AND SURVEILLANCE SYSTEM

  • Unique Paper ID: 176757
  • Volume: 11
  • Issue: 11
  • PageNo: 6150-6154
  • Abstract:
  • This study introduces AvAlert, an innovative AI-powered system for detecting avalanches and providing early warnings to reduce associated risks. The system integrates sophisticated machine learning techniques, including a VGG-ResNet hybrid for in-depth feature extraction, YOLOv8 for identifying hazardous zones in real-time, and a combined model of SVM, Random Forest, and XGBoost for precise early predictions. Notable features of AvAlert include real-time visualization of data, adjustable alert thresholds, and a user-friendly interface compatible with both mobile devices and web browsers. The system utilizes satellite imagery, data from ground sensors, and predictive modeling to deliver dependable and prompt alerts to communities at risk. Designed to support vulnerable populations in mountainous areas, AvAlert has plans for future enhancements, such as improved integration of IoT sensors and cloud-based data storage to increase scalability. This research underscores the vital importance of AI and real-time data processing in enhancing safety and resilience in avalanche-prone regions, pushing forward the potential for responsive and life-saving interventions in natural disaster management.
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 11
  • PageNo: 6150-6154

AI-BASED AVALANCHE ASSISTANCE AND SURVEILLANCE SYSTEM

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Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

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