Back close

Smart Geophone IoT System for Landslide Detection

Dept/Center/Lab: Amrita Center for Wireless Networks and Applications (AWNA)

Project Incharge:Dr. Maneesha Vinodini Ramesh
Co-Project Incharge:Balaji Hariharan
Smart Geophone IoT System for Landslide Detection

The main aim of this project is to investigate micro-seismic signals arising from diverse landslide initiation scenarios by leveraging Smart Geophone IoT systems.

What is the Project All About?

This project encompasses the design and development of IoT systems incorporating a range of sensors. Employing advanced machine learning and deep learning techniques, the goal is to discern patterns indicative of landslide triggers.

Why is this important?

The outcome of this research holds significant promise for the advancement of early warning systems, ultimately contributing to enhanced landslide prediction and prevention measures.

How does it work?

The Smart Geophone IoT system detects and monitors the micro-seismic signals associated with landslides and data is wirelessly transmitted to a central hub, where machine learning models analyze it in real-time. These models learn patterns from historical data to identify seismic signals indicative of landslide triggers. When a potential threat is detected, the system issues alerts, enabling timely response and aiding in the development of effective landslide warning systems.

Publication Details

Related Projects

Advanced Integrated Wireless Sensor Networks for Real Time Monitoring and Detection of Disasters
Advanced Integrated Wireless Sensor Networks for Real Time Monitoring and Detection of Disasters
Cloud based Adaptive eLearning Network
Cloud based Adaptive eLearning Network
Innovation Management in the Indian IT Industry and to Develop Strategies for Commercializing Innovative IT Products and Services
Innovation Management in the Indian IT Industry and to Develop Strategies for Commercializing Innovative IT Products and Services
Burning velocity measurment of biodiesel components using divergent chennal technique and Heat Flux Method
Burning velocity measurment of biodiesel components using divergent chennal technique and Heat Flux Method
Role of Universal Stress Protein in Bacterial Pathogenesis
Role of Universal Stress Protein in Bacterial Pathogenesis
Admissions Apply Now