Back close

IoT-based System for Real-time Infrastructural Resilience Monitoring

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

Project Incharge:Dr. Maneesha Vinodini Ramesh
IoT-based System for Real-time Infrastructural Resilience Monitoring

This project focuses on enhancing infrastructural resilience in landslide-prone areas through the application of Smart IoT systems. It involves the design and implementation of IoT systems integrating various sensors and utilizing advanced machine learning and deep learning techniques.

Key Objectives

  • Investigate infrastructural resilience in landslide-prone areas.
  • Design and develop IoT systems with a range of sensors.
  • Apply advanced machine learning and deep learning techniques.

Expected Impact

The project aims to significantly improve early warning systems, leading to better landslide prediction and prevention measures, thereby enhancing overall infrastructural resilience in vulnerable areas.

Related Projects

Object Oriented Approach To Context Based Image Retrieval
Object Oriented Approach To Context Based Image Retrieval
Nanosurface Engineering of Bare Metallic Coronary Stents for Combating In-Stent Restenosis
Nanosurface Engineering of Bare Metallic Coronary Stents for Combating In-Stent Restenosis
Spaceborne Estimation of Groundwater Variability in Northwestern India
Spaceborne Estimation of Groundwater Variability in Northwestern India
Development of Image Fusion Techniques and Measurement Methods to Assess Quality of Fusion
Development of Image Fusion Techniques and Measurement Methods to Assess Quality of Fusion
Measurement of Burning Velocities of Hydrocarbon Hydrogen Mixtures and Application to Premixed Laminar Burner Design
Measurement of Burning Velocities of Hydrocarbon Hydrogen Mixtures and Application to Premixed Laminar Burner Design
Admissions Apply Now