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

Escherichia coli Based Microfluidic Whole-cell Glucose Biosensor
Escherichia coli Based Microfluidic Whole-cell Glucose Biosensor
A Cyber-Physical System for Leak Detection in Water Distribution Networks
A Cyber-Physical System for Leak Detection in Water Distribution Networks
Drug Target Identification using Protein-Protein Interaction Networks 
Drug Target Identification using Protein-Protein Interaction Networks 
Machine Fault Identification : A Unified Approach
Machine Fault Identification : A Unified Approach
Synthesis and Characterization of Ceramic Layered Steel Tube Using Centrifuge Thermite Process for High-Temperature Applications
Synthesis and Characterization of Ceramic Layered Steel Tube Using Centrifuge Thermite Process for High-Temperature Applications
Admissions Apply Now