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

ISL Labs
ISL Labs
Nutraceutical Preparation using Coconut Water
Nutraceutical Preparation using Coconut Water
An Efficient Scene Understanding System for Digital Farming to Detect Animal and Pest Attack Using Deep Learning 
An Efficient Scene Understanding System for Digital Farming to Detect Animal and Pest Attack Using Deep Learning 
Single Sided Matrix Converter fed Brushless DC Motor for Energy Conservation
Single Sided Matrix Converter fed Brushless DC Motor for Energy Conservation
Natural Dyes as Efficient Candidate for Enhancing the Photovoltaic Properties of Dye Sensitized Solar Cells
Natural Dyes as Efficient Candidate for Enhancing the Photovoltaic Properties of Dye Sensitized Solar Cells
Admissions Apply Now