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

Cooperative MIMO in Wireless Sensor Network for Precision Agriculture
Cooperative MIMO in Wireless Sensor Network for Precision Agriculture
Cow-kin: Smart and Precision Animal Farming for the Health and Welfare of the Cattle
Cow-kin: Smart and Precision Animal Farming for the Health and Welfare of the Cattle
Scalable and Sustainable Rural Sanitation Model
Scalable and Sustainable Rural Sanitation Model
DNA ORIGAMI – Folding of the Vector (pCDH–CMV–MCS–EF1–puro) into a Predefined Shape Using 18, 20mer Staples
DNA ORIGAMI – Folding of the Vector (pCDH–CMV–MCS–EF1–puro) into a Predefined Shape Using 18, 20mer Staples
Neuro Evolution based Convolutional Neural Networks Compression for Hardware Performance Optimization
Neuro Evolution based Convolutional Neural Networks Compression for Hardware Performance Optimization
Admissions Apply Now