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

Cyber Resilience and Privacy Preservation in Smart Grid using Machine Learning Techniques
Cyber Resilience and Privacy Preservation in Smart Grid using Machine Learning Techniques
An Adaptive Shunt Hybrid Filter for Power Quality Enhancement
An Adaptive Shunt Hybrid Filter for Power Quality Enhancement
Development of a Lab-on-a-Chip (LoC) for detection of Glucose, Cholesterol and Kidney Function
Development of a Lab-on-a-Chip (LoC) for detection of Glucose, Cholesterol and Kidney Function
Amrita Big Data Framework
Amrita Big Data Framework
Dosa Making Robot
Dosa Making Robot
Admissions Apply Now