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

Modelling the cerebellar information code in large-scale realistic circuits – Towards pharmacological predictions and robotic abstractions
Modelling the cerebellar information code in large-scale realistic circuits – Towards pharmacological predictions and robotic abstractions
Architectures, Algorithms, and Models for Developing Remote Cardiac Rehabilitation
Architectures, Algorithms, and Models for Developing Remote Cardiac Rehabilitation
Indexing and Searching E-Learning Content
Indexing and Searching E-Learning Content
Paripreksya 3.0
Paripreksya 3.0
Use of Drones to Effectively Rescue Trapped Victims in Collapsed Buildings
Use of Drones to Effectively Rescue Trapped Victims in Collapsed Buildings
Admissions Apply Now