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

Thermal Performance Characterization of Liquid Cooled BTMS
Thermal Performance Characterization of Liquid Cooled BTMS
Floating Device to Monitor Water Quality
Floating Device to Monitor Water Quality
An in-depth study oriented towards rejuvenation of traditional Sanskrit puraṇa-kathākhyāna traditions of Kerala: Pāṭhakam and Cākyār-kūttu 
An in-depth study oriented towards rejuvenation of traditional Sanskrit puraṇa-kathākhyāna traditions of Kerala: Pāṭhakam and Cākyār-kūttu 
Linear Coding Method to Improve Embedding Efficiency of Cover Image in Image Steganography
Linear Coding Method to Improve Embedding Efficiency of Cover Image in Image Steganography
CHETAK 2.0 : Service Robot
CHETAK 2.0 : Service Robot
Admissions Apply Now