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

Spaceborne Estimation of Groundwater Variability in Northwestern India
Spaceborne Estimation of Groundwater Variability in Northwestern India
Early Detection of Crop Disease and Nutritional Stresses
Early Detection of Crop Disease and Nutritional Stresses
Synthesis of Modified Benzophenanthridine – a Preliminary Anti-Cancer Study
Synthesis of Modified Benzophenanthridine – a Preliminary Anti-Cancer Study
Driving Assistance System Based Ongaze Tracking and Road Scene Events Detection
Driving Assistance System Based Ongaze Tracking and Road Scene Events Detection
An Edge-based Cyber-Physical System for Smart Polyhouse Solar Drying of Agricultural Food Products (Phase-2)
An Edge-based Cyber-Physical System for Smart Polyhouse Solar Drying of Agricultural Food Products (Phase-2)
Admissions Apply Now