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

Security Event Processing Acceleration using GPGPU
Security Event Processing Acceleration using GPGPU
Building Ecosystem for Coastal Community Resilience
Building Ecosystem for Coastal Community Resilience
Expression, Purification And Refolding Of Recombinant Amidase In Escherichia Coli
Expression, Purification And Refolding Of Recombinant Amidase In Escherichia Coli
Nano-Fibre Scaffold Electrodes based on Mn02 and Polymer/Carbon Composites for High Performance Storage Device
Nano-Fibre Scaffold Electrodes based on Mn02 and Polymer/Carbon Composites for High Performance Storage Device
Design and Synthesis of Donor-Acceptor Architectures for Novel Optical Materials
Design and Synthesis of Donor-Acceptor Architectures for Novel Optical Materials
Admissions Apply Now