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

Alternate materials for improving dynamic response and damping properties for machine tool structures
Alternate materials for improving dynamic response and damping properties for machine tool structures
Non-Electric Cooling Solutions for Tribal Villages
Non-Electric Cooling Solutions for Tribal Villages
NUF – 500 Filtration Systems
NUF – 500 Filtration Systems
Intelligent Tutoring and Adaptive Assessment
Intelligent Tutoring and Adaptive Assessment
Bio Water Filtration Unit for Improved Access to Clean Water – Communication for Sustainable Change
Bio Water Filtration Unit for Improved Access to Clean Water – Communication for Sustainable Change
Admissions Apply Now