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Economic Early Warning System to Protect Villagers and Commuters in Hilly Region

  • By
  • Ashish Kumar (20EE23A01006),
  • Abhineet Godayal (20EE23A01007),
  • Anurag Pandey (20EE23A01005),
  • Devagya Raman (20EE23A01003)
  • Chandrakant Tyagi (32EE23A01003)
  • Ashish Kapoor (20EE23A01008)

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Introduction

  • Landslides are a pervasive natural hazard that can cause extensive damage to infrastructure, property, and human lives.
  • Characterized by the downward movement of rock, soil, and debris, landslides are often sudden and unpredictable, presenting significant challenges for effective early warning and mitigation efforts.
  • Traditional landslide monitoring methods, which rely on manual observation and ground-based sensors, have notable limitations in their ability to provide real-time, comprehensive data necessary for timely intervention

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Sensor Technologies in EWS

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Components of Environmental Monitoring

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Landslide Monitoring System Architecture

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Role of Sensors in Landslide Detection

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Our Present Advancement

Integration of AI Algorithms

  • This will enable real-time data analysis and predictive modeling.

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Implementation of Wireless Protocols

  • It will ensure seamless data transmission and remote monitoring.

Integration with Remote Sensing Techniques

  • To predict landslide, rockfall event in larger area

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Thank You